Amerika Serikat Minta Warganya di Indonesia Pulang Kampung

Amerika Serikat Minta Warganya di Indonesia Pulang Kampung – Pada tanggal 12 Maret 2020, Pemerintah Amerika Serikat mengeluarkan peringatan level 4 terkait pandemi COVID-19 kepada seluruh warga negaranya di seluruh dunia. Dalam peringatan tersebut, ditekankan bahwa warga AS yang berada di luar negeri seharusnya segera mempertimbangkan untuk pulang ke Amerika Serikat jika memungkinkan. Keputusan ini mengarah pada serangkaian kebijakan dan tindakan yang dilakukan untuk menjaga keselamatan warga AS di tengah pandemi global ini. Berikut adalah beberapa alasan dan konteks di balik permintaan tersebut:

Peringatan tentang Risiko Penyebaran COVID-19

Pandemi COVID-19 telah menyebabkan dampak besar di seluruh dunia, termasuk di Indonesia. Pemerintah AS, seperti halnya pemerintah negara lain, prihatin akan kesehatan dan keselamatan warga negaranya di luar negeri. Oleh karena itu, mereka memberikan peringatan tingkat tertinggi untuk memastikan bahwa warga AS menyadari risiko yang ada dan dapat mengambil langkah-langkah pencegahan yang sesuai.

Fasilitas Kesehatan di Amerika Serikat

Salah satu alasan utama di balik permintaan pulang kampung ini adalah fasilitas kesehatan yang lebih baik di Amerika Serikat. Dalam situasi darurat seperti pandemi COVID-19, banyak warga AS yang mungkin merasa lebih nyaman kembali ke negara asal mereka, di mana mereka memiliki akses lebih mudah ke perawatan medis yang berkualitas.

Pembatasan Perjalanan

Seiring dengan peningkatan kasus COVID-19 di seluruh dunia, banyak negara menerapkan pembatasan perjalanan dan penutupan perbatasan. Dengan kondisi ini, ada kekhawatiran bahwa warga AS mungkin mengalami kesulitan dalam perjalanan atau bahkan terjebak di luar negeri jika situasi memburuk. Kembali ke Amerika Serikat mungkin menjadi pilihan yang lebih aman dan lebih mudah dalam menghadapi ketidakpastian.

Dukungan dari Pemerintah AS

Pemerintah AS telah menyediakan dukungan dan bantuan kepada warga negaranya yang terdampak di luar negeri selama pandemi ini. Dengan meminta warga AS untuk pulang kampung, mereka dapat lebih mudah memberikan bantuan dan dukungan yang diperlukan kepada mereka yang membutuhkan, serta memastikan bahwa warga AS dapat memperoleh akses ke layanan konsuler dan informasi terbaru tentang situasi COVID-19 di Amerika Serikat.

Keselamatan dan Kesejahteraan Warga AS

Secara keseluruhan, permintaan untuk pulang kampung berasal dari keinginan Pemerintah AS untuk memastikan keselamatan dan kesejahteraan warga negaranya di tengah pandemi global ini. Meskipun keputusan untuk pulang kampung merupakan keputusan pribadi yang harus dipertimbangkan dengan hati-hati oleh masing-masing individu, pemerintah memberikan saran dan dukungan kepada warga AS yang berada di luar negeri untuk memastikan bahwa mereka dapat mengambil langkah-langkah yang tepat untuk melindungi diri mereka sendiri dan orang-orang di sekitar mereka.

Dengan demikian, permintaan bagi warga AS di Indonesia untuk pulang kampung merupakan bagian dari upaya yang lebih luas untuk mengatasi dampak pandemi COVID-19 dan memastikan keselamatan dan kesejahteraan warga AS di tengah situasi yang tidak pasti ini.

Ratusan WNI Amerika Serikat Dukungan Masyarakat PapuaVisit

Ratusan WNI Amerika Serikat Dukungan Masyarakat PapuaVisit – Ratusan Warga Negara Indonesia (WNI) yang tinggal di Amerika Serikat menunjukkan dukungan dan solidaritas mereka terhadap masyarakat Papua, menyoroti isu-isu yang mereka hadapi dan memperjuangkan hak-hak mereka. Inisiatif ini menandai sebuah gerakan yang bertujuan untuk memberikan suara kepada mereka yang sering kali terpinggirkan dan melawan ketidakadilan yang mereka hadapi.

Solidaritas Global untuk Papua

Masyarakat Papua, di bagian timur Indonesia, telah lama mengalami berbagai tantangan dan konflik yang meliputi masalah hak asasi manusia, otonomi daerah, dan pembangunan ekonomi. Meskipun jarak geografisnya yang jauh, ratusan WNI di Amerika Serikat merasa tergerak untuk mendukung perjuangan mereka.

Menggalang Dukungan Melalui Berbagai Inisiatif

Gerakan solidaritas untuk Papua di Amerika Serikat mencakup berbagai kegiatan dan inisiatif. Ini termasuk demonstrasi di berbagai kota, petisi online, kampanye sosial media, serta penggalangan dana untuk mendukung program-program kemanusiaan dan pendidikan di Papua.

Memperjuangkan Hak Asasi Manusia

Salah satu fokus utama dari dukungan ini adalah memperjuangkan hak asasi manusia bagi masyarakat Papua. Banyaknya laporan tentang pelanggaran hak asasi manusia, termasuk penindasan politik, kekerasan, dan kriminalisasi terhadap aktivis, telah menarik perhatian dunia internasional.

Penekanan pada Otonomi dan Keadilan Sosial

Para pendukung Papua di Amerika Serikat juga menekankan pentingnya otonomi daerah yang lebih besar bagi Papua, sehingga masyarakat setempat dapat mengelola sumber daya alam dan memperoleh manfaatnya secara adil. Mereka juga menyoroti masalah ketimpangan sosial dan ekonomi yang harus diatasi.

Berbagi Kisah dan Pengalaman

Salah satu cara untuk mendukung perjuangan Papua adalah dengan menyuarakan kisah dan pengalaman mereka. Ratusan WNI di Amerika Serikat telah berbagi cerita melalui berbagai platform, baik itu media sosial, artikel, atau konferensi, untuk menyoroti tantangan dan aspirasi masyarakat Papua.

Memperjuangkan Pendidikan dan Kesejahteraan

Dukungan untuk Papua juga mencakup upaya untuk meningkatkan akses pendidikan dan kesejahteraan masyarakat. Program-program ini mencakup bantuan beasiswa, pembangunan infrastruktur pendidikan, serta dukungan untuk kesehatan dan kesejahteraan masyarakat.

Menyuarakan Kepedulian Global

Gerakan solidaritas untuk Papua di Amerika Serikat juga bertujuan untuk meningkatkan kesadaran global tentang isu-isu yang dihadapi oleh masyarakat Papua. Dengan menyoroti perjuangan mereka, para pendukung berharap dapat memperoleh dukungan lebih lanjut dari komunitas internasional.

Mendorong Dialog dan Diplomasi

Selain menggalang dukungan masyarakat, para pendukung Papua di Amerika Serikat juga berusaha untuk mendorong dialog dan diplomasi antara pemerintah Indonesia dan masyarakat Papua. Mereka mengadvokasi untuk solusi damai dan berkelanjutan atas konflik yang telah berlangsung selama bertahun-tahun.

Mengintegrasikan Diversitas dalam Solidaritas

Pentingnya menghargai keberagaman dalam gerakan solidaritas ini juga ditekankan. Para pendukung Papua di Amerika Serikat berupaya untuk memperkuat solidaritas antara berbagai kelompok etnis dan agama, serta memperkuat persatuan dalam mendukung perjuangan Papua.

Mendorong Perubahan dan Reformasi

Pada akhirnya, tujuan dari gerakan solidaritas untuk Papua di Amerika Serikat adalah untuk mendorong perubahan dan reformasi yang berkelanjutan. Mereka percaya bahwa dengan bersatu dan bersuara, mereka dapat membantu menciptakan perubahan positif yang diperlukan bagi masyarakat Papua.

Dengan dukungan yang terus tumbuh dari ratusan WNI di Amerika Serikat, harapan untuk masa depan yang lebih baik bagi masyarakat Papua semakin kuat. Gerakan solidaritas ini menunjukkan pentingnya bersatu dalam perjuangan untuk keadilan dan hak asasi manusia di seluruh dunia.

Ada 15 Fakta Unik Negara Amerika Belum Ketahui Budaya Orang

Ada 15 Fakta Unik Negara Amerika Belum Ketahui Budaya Orang – Amerika Serikat, sebuah negara dengan kekayaan budaya yang luar biasa, tidak hanya dikenal karena monumen ikoniknya dan kehidupan kota yang dinamis, tetapi juga karena berbagai aspek unik yang membentuk identitasnya. Mari kita telusuri 15 fakta menarik yang mungkin belum Anda ketahui tentang budaya orang Amerika:

Ragam Etnis yang Luas

Amerika Serikat adalah rumah bagi berbagai kelompok etnis yang berkontribusi pada keragaman budayanya. Mulai dari orang Afrika, Asia, Eropa, hingga penduduk asli Amerika, setiap kelompok membawa warisan budaya mereka sendiri, menciptakan mozaik budaya yang kaya.

Makanan Fusion yang Memikat

Salah satu aspek paling menarik dari budaya Amerika adalah makanannya yang beragam. Dari hamburger dan hot dog hingga sushi dan tacos, Amerika mengadopsi berbagai masakan dari seluruh dunia dan menciptakan hidangan fusion yang unik.

Budaya Musik yang Beragam

Amerika dikenal karena kontribusinya terhadap musik populer, dari blues dan jazz hingga rock dan hip-hop. Musik telah menjadi bagian integral dari kehidupan sehari-hari orang Amerika, mencerminkan keragaman budaya dan pengalaman hidup yang berbeda.

Tradisi Thanksgiving yang Berakar

Thanksgiving adalah salah satu tradisi paling ikonik di Amerika, di mana orang berkumpul untuk bersyukur dan merayakan keselamatan awal para pemukim di Amerika. Ini adalah waktu untuk berbagi hidangan lezat seperti kalkun panggang, saus cranberry, dan kue labu.

Perayaan Hari Kemerdekaan yang Meriah

Hari Kemerdekaan Amerika adalah perayaan nasional yang paling dinanti-nantikan, di mana orang merayakan kemerdekaan negara mereka dengan pesta, kembang api, dan parade. Ini adalah waktu untuk merayakan semangat patriotisme dan nasionalisme.

Kebudayaan Hollywood yang Menginspirasi

Industri hiburan Amerika, terutama Hollywood, telah memengaruhi budaya populer di seluruh dunia. Film, musik, dan acara televisi Amerika sering kali menjadi inspirasi bagi masyarakat global dan memainkan peran penting dalam membentuk pandangan dunia.

Budaya Olahraga yang Kuat

Olahraga, terutama sepak bola Amerika, bisbol, dan basket, merupakan bagian penting dari budaya Amerika. Pertandingan olahraga menjadi ajang untuk bersatu, merayakan keberhasilan, dan memperkuat identitas lokal dan nasional.

Minat Akan Kesenian dan Budaya

Amerika memiliki warisan seni yang kaya, dari lukisan dan patung hingga teater dan sastra. Museum seni, galeri, dan festival budaya di seluruh negeri menawarkan kesempatan untuk mengapresiasi karya seni dan memahami warisan budaya yang beragam.

Cinta Akan Petualangan dan Kemah

Amerika Serikat memiliki alam yang luar biasa dan banyak orang Amerika menyukai petualangan di alam terbuka. Dari hiking dan camping hingga bersepeda gunung dan mendaki tebing, kegiatan luar ruangan menjadi bagian penting dari gaya hidup orang Amerika.

Semangat Kewirausahaan dan Inovasi

Amerika dikenal sebagai tanah yang subur bagi kewirausahaan dan inovasi. Berkat budaya yang mendukung risiko dan perubahan, banyak pengusaha sukses berasal dari Amerika, menciptakan produk dan layanan yang memengaruhi kehidupan kita sehari-hari.

Religiusitas yang Beragam

Amerika Serikat adalah rumah bagi berbagai agama dan keyakinan. Dari Kristen, Islam, Yahudi, hingga Hindu dan Buddha, keragaman agama memainkan peran penting dalam kehidupan spiritual dan sosial masyarakat Amerika.

Ketertarikan pada Teknologi dan Inovasi

Amerika dikenal karena peran pentingnya dalam revolusi teknologi dan inovasi. Silicon Valley di California menjadi pusat bagi perusahaan teknologi terkemuka di dunia, menciptakan produk dan layanan yang mengubah cara kita hidup, bekerja, dan berkomunikasi.

Penghargaan terhadap Hak Asasi Manusia

Nilai-nilai demokratis dan hak asasi manusia menjadi bagian penting dari identitas Amerika. Banyak gerakan sosial dan advokasi telah memperjuangkan kesetaraan, keadilan, dan hak-hak dasar bagi semua warga negara.

Keragaman Politik yang Mewarnai

Amerika Serikat memiliki sistem politik yang dinamis dan kompleks. Dua partai politik utama, Partai Demokrat dan Partai Republik, bersaing untuk mendapatkan kekuasaan politik, sementara warga Amerika mengikuti perkembangan politik dengan cermat.

Semangat Patriotisme dan Nasionalisme

Patriotisme dan nasionalisme telah menjadi bagian integral dari identitas Amerika. Bendera Amerika, lagu kebangsaan, dan lambang nasional lainnya sering kali dianggap dengan penuh kebanggaan dan hormat.

Dengan memahami fakta-fakta unik ini, Anda dapat mendapatkan wawasan yang lebih dalam tentang budaya dan kehidupan orang Amerika, serta menghargai kekayaan warisan budaya yang mereka miliki. Budaya Amerika adalah refleksi dari sejarah, nilai-nilai, dan aspirasi masyarakatnya, yang terus berkembang dan berubah seiring waktu.

Budaya dan Kehidupan di Amerika untuk Pelajar Internasional

Budaya dan Kehidupan di Amerika untuk Pelajar Internasional – Amerika Serikat, dengan segala keragaman budaya dan kehidupan yang menarik, sering kali menjadi destinasi yang diimpikan bagi para pelajar internasional yang ingin merasakan pengalaman pendidikan dan kehidupan di luar negeri. Dari kehidupan kampus yang dinamis hingga perbedaan budaya yang menarik, berikut adalah gambaran mendalam tentang budaya dan kehidupan di Amerika yang dapat membantu pelajar internasional dalam menavigasi pengalaman mereka di negara ini.

Kehidupan Kampus yang Dinamis

Salah satu hal yang membuat pengalaman pendidikan di Amerika begitu menarik adalah kehidupan kampus yang dinamis. Kampus-kampus di Amerika menawarkan berbagai kegiatan dan klub, mulai dari olahraga hingga seni, yang memungkinkan mahasiswa untuk terlibat dalam berbagai aktivitas di luar ruang kelas. Selain itu, kehidupan kampus juga diperkaya dengan budaya universitas yang unik, termasuk tradisi dan perayaan khas universitas.

Keragaman Budaya

Salah satu hal yang paling menonjol tentang Amerika adalah keragaman budayanya. Dari Pantai Timur hingga Pantai Barat, dari kota besar hingga pedesaan, setiap wilayah di Amerika memiliki identitas budaya yang unik. Pelajar internasional memiliki kesempatan untuk merasakan berbagai aspek budaya Amerika, termasuk makanan, musik, seni, dan tradisi lokal yang berbeda di setiap daerah.

Masyarakat Terbuka dan Ramah

Meskipun mungkin ada perbedaan budaya yang harus diatasi, masyarakat Amerika dikenal karena sikap terbuka dan ramah mereka terhadap orang asing. Pelajar internasional sering kali merasa diterima dengan baik di lingkungan kampus dan komunitas lokal mereka. Ini memungkinkan mereka untuk dengan cepat merasa seperti di rumah dan menikmati pengalaman mereka di Amerika.

Kesempatan Karier yang Luas

Salah satu keunggulan pendidikan di Amerika adalah akses yang luas terhadap kesempatan karier. Negara ini menawarkan berbagai program pelatihan dan magang yang memungkinkan pelajar internasional untuk memperluas pengetahuan mereka dan memperoleh pengalaman praktis dalam bidang yang diminati. Selain itu, Amerika Serikat adalah tuan rumah bagi banyak perusahaan besar dan startup inovatif, yang memberikan pelajar internasional kesempatan untuk menjelajahi berbagai jalur karier.

Toleransi dan Penerimaan

Meskipun Amerika tidak sempurna, negara ini dikenal karena semangatnya dalam memperjuangkan toleransi dan penerimaan bagi semua orang. Pelajar internasional sering kali merasa didukung dalam mengejar tujuan akademis dan karier mereka, terlepas dari latar belakang budaya atau etnis mereka. Ini menciptakan lingkungan yang inklusif dan mendukung bagi pelajar internasional yang ingin berkembang dan berhasil di Amerika.

Sistem Pendidikan yang Inovatif

Sistem pendidikan di Amerika dikenal karena pendekatan inovatifnya terhadap pembelajaran. Dengan fokus pada pengembangan keterampilan kritis, kreativitas, dan pemecahan masalah, pendidikan di Amerika mendukung siswa untuk menjadi pemikir yang mandiri dan berdaya. Pelajar internasional memiliki kesempatan untuk belajar dari dosen terkemuka di bidang mereka dan terlibat dalam penelitian dan proyek yang menarik.

Kebebasan Berekspresi

Salah satu nilai yang sangat dijunjung tinggi di Amerika adalah kebebasan berekspresi. Ini mencakup hak untuk menyatakan pendapat, mengikuti agama dan kepercayaan pribadi, serta mengejar minat dan hobi tanpa takut akan diskriminasi atau penindasan. Pelajar internasional merasakan kebebasan ini dan didorong untuk mengeksplorasi minat dan bakat mereka tanpa batasan.

Lingkungan Alam yang Luas

Amerika Serikat terkenal karena keindahan alamnya yang beragam, mulai dari pegunungan hingga pantai, danau, dan padang gurun. Pelajar internasional memiliki kesempatan untuk menjelajahi lanskap alam yang menakjubkan ini melalui perjalanan wisata atau kegiatan luar ruangan. Ini tidak hanya menyegarkan pikiran dan tubuh, tetapi juga memberikan pemahaman yang lebih baik tentang keanekaragaman lingkungan di Amerika.

Kehidupan Kota yang Dinamis

Bagi pelajar internasional yang tinggal di kota-kota besar seperti New York, Los Angeles, atau Chicago, mereka akan merasakan kehidupan kota yang dinamis dan beragam. Dari kegiatan seni dan budaya hingga restoran, toko, dan tempat hiburan, kota-kota ini menawarkan pengalaman yang tak tertandingi bagi mereka yang ingin merasakan semangat kota yang hidup.

Keterbukaan terhadap Inovasi dan Teknologi

Amerika Serikat adalah pusat inovasi dan teknologi global. Pelajar internasional memiliki akses yang luas terhadap sumber daya teknologi dan kesempatan untuk terlibat dalam proyek-proyek inovatif. Ini menciptakan lingkungan yang merangsang untuk pembelajaran dan pengembangan keterampilan di bidang teknologi yang kian berkembang pesat.

Dengan begitu banyak hal menarik yang ditawarkan oleh Amerika, pengalaman pelajar internasional di negara ini tidak hanya tentang pendidikan, tetapi juga tentang penemuan diri, pertumbuhan pribadi, dan pengejaran impian. Dengan sikap terbuka dan semangat petualangan, pelajar internasional dapat menjelajahi kekayaan budaya dan kesempatan yang ditawarkan oleh Amerika Serikat.

Power of Data with Semantics: How Semantic Analysis is Revolutionizing Data Science

Elements of Semantic Analysis in NLP

semantic analysis example

For example, analyze the sentence “Ram is great.” In this sentence, the speaker is talking either about Lord Ram or about a person whose name is Ram. That is why the job, to get the proper meaning of the sentence, of semantic analyzer is important. Also, ‘smart search‘ is another functionality that one can integrate with ecommerce search tools. The tool analyzes every user interaction with the ecommerce site to determine their intentions and thereby offers results inclined to those intentions. A ‘search autocomplete‘ functionality is one such type that predicts what a user intends to search based on previously searched queries.

In other words, we can say that lexical semantics is the relationship between lexical items, meaning of sentences and syntax of sentence. Semantic Analysis is a subfield of Natural Language Processing (NLP) that attempts to understand the meaning of Natural Language. Understanding Natural Language might seem a straightforward process to us as humans. However, due to the vast complexity and subjectivity involved in human language, interpreting it is quite a complicated task for machines. Semantic Analysis of Natural Language captures the meaning of the given text while taking into account context, logical structuring of sentences and grammar roles.

Examples of Semantic Analysis in Action

We can any of the below two semantic analysis techniques depending on the type of information you would like to obtain from the given data. Therefore, the goal of semantic analysis is to draw exact meaning or dictionary meaning from the text. The most important task of semantic analysis is to get the proper meaning of the sentence.

In semantic analysis, word sense disambiguation refers to an automated process of determining the sense or meaning of the word in a given context. As natural language consists of words with several meanings (polysemic), the objective here is to recognize the correct meaning based on its use. Data science involves using statistical and computational methods to analyze large datasets and extract insights from them.

This approach is built on the basis of and by imitating the cognitive and decision-making processes running in the human brain. It’s not just about understanding text; it’s about inferring intent, unraveling emotions, and enabling machines to interpret human communication with remarkable accuracy and depth. From optimizing data-driven strategies to refining automated processes, semantic analysis serves as the backbone, transforming how machines comprehend language and enhancing human-technology interactions.

You can foun additiona information about ai customer service and artificial intelligence and NLP. Apple can refer to a number of possibilities including the fruit, multiple companies (Apple Inc, Apple Records), their products, along with some other interesting meanings . Capturing the information is the easy part but understanding what is being said semantic analysis example (and doing this at scale) is a whole different story. Google uses transformers for their search, semantic analysis has been used in customer experience for over 10 years now, Gong has one of the most advanced ASR directly tied to billions in revenue.

Earlier, tools such as Google translate were suitable for word-to-word translations. However, with the advancement of natural language processing and deep learning, translator tools can determine a user’s intent and the meaning of input words, sentences, and context. Semantic analysis refers to a process of understanding natural language (text) by extracting insightful information such as context, emotions, and sentiments from unstructured data. It gives computers and systems the ability to understand, interpret, and derive meanings from sentences, paragraphs, reports, registers, files, or any document of a similar kind.

In other words, we can say that polysemy has the same spelling but different and related meanings. Lexical analysis is based on smaller tokens but on the contrary, the semantic analysis focuses on larger chunks. It is the first part of the semantic analysis in which the study of the meaning of individual words is performed. In the ever-expanding era of textual information, it is important for organizations to draw insights from such data to fuel businesses. Semantic Analysis helps machines interpret the meaning of texts and extract useful information, thus providing invaluable data while reducing manual efforts. It’s used extensively in NLP tasks like sentiment analysis, document summarization, machine translation, and question answering, thus showcasing its versatility and fundamental role in processing language.

Semantic analysis enables these systems to comprehend user queries, leading to more accurate responses and better conversational experiences. Chatbots, virtual assistants, and recommendation systems benefit from semantic analysis by providing more accurate and context-aware responses, thus significantly improving user satisfaction. Indeed, discovering a chatbot capable of understanding emotional intent or a voice bot’s discerning tone might seem like a sci-fi concept. Semantic analysis, the engine behind these advancements, dives into the meaning embedded in the text, unraveling emotional nuances and intended messages. All in all, semantic analysis enables chatbots to focus on user needs and address their queries in lesser time and lower cost.

Chatbots and Virtual Assistants:

Along with services, it also improves the overall experience of the riders and drivers. For example, ‘Raspberry Pi’ can refer to a fruit, a single-board computer, or even a company (UK-based foundation). Hence, it is critical to identify which meaning suits the word depending on its usage. Antonyms refer to pairs of lexical terms that have contrasting meanings or words that have close to opposite meanings. You understand that a customer is frustrated because a customer service agent is taking too long to respond.

This formal structure that is used to understand the meaning of a text is called meaning representation. Semantic analysis forms the backbone of many NLP tasks, enabling machines to understand and process language more effectively, leading to improved machine translation, sentiment analysis, etc. One of the advantages of machine learning methods is that they can improve over time, as they learn from more and more data. However, they can also be complex and difficult to implement, as they require a deep understanding of machine learning algorithms and techniques. At its core, Semantic Analysis is about deciphering the meaning behind words and sentences. It’s about understanding the nuances of language, the context in which words are used, and the relationships between different words.

For example, you might decide to create a strong knowledge base by identifying the most common customer inquiries. The entities involved in this text, along with their relationships, are shown below. Semantic analysis employs various methods, but they all aim to comprehend the text’s meaning in a manner comparable to that of a human. This can entail figuring out the text’s primary ideas and themes and their connections.

semantic analysis example

However, many organizations struggle to capitalize on it because of their inability to analyze unstructured data. This challenge is a frequent roadblock for artificial intelligence (AI) initiatives that tackle language-intensive processes. But before getting into the concept and approaches related to meaning representation, we need to understand the building blocks of semantic system.

Semantic Analysis Techniques

Semantic analysis allows for a deeper understanding of user preferences, enabling personalized recommendations in e-commerce, content curation, and more. According to a 2020 survey by Seagate technology, around 68% of the unstructured and text data that flows into the top 1,500 global companies (surveyed) goes unattended and unused. With growing NLP and NLU solutions across industries, deriving insights from such unleveraged data will only add value to the enterprises. Maps are essential to Uber’s cab services of destination search, routing, and prediction of the estimated arrival time (ETA).

Semantic Features Analysis Definition, Examples, Applications – Spiceworks News and Insights

Semantic Features Analysis Definition, Examples, Applications.

Posted: Thu, 16 Jun 2022 07:00:00 GMT [source]

Now, we can understand that meaning representation shows how to put together the building blocks of semantic systems. In other words, it shows how to put together entities, concepts, relation and predicates to describe a situation. Moreover, QuestionPro typically provides visualization tools and reporting features to present survey data, including textual responses. These visualizations help identify trends or patterns within the unstructured text data, supporting the interpretation of semantic aspects to some extent.

Advantages of Semantic Analysis

It then provides results that are relevant to your query, such as recipes and baking tips. However, machines first need to be trained to make sense of human language and understand the context in which words are used; otherwise, they might misinterpret the word “joke” as positive. Understanding these terms is crucial to NLP programs that seek to draw insight from textual information, extract information and provide data.

The platform allows Uber to streamline and optimize the map data triggering the ticket. Apart from these vital elements, the semantic analysis also uses semiotics and collocations to understand and interpret language. Semiotics refers to what the word means and also the meaning it evokes or communicates. For example, ‘tea’ refers to a hot beverage, while it also evokes refreshment, alertness, and many other associations.

  • The majority of the semantic analysis stages presented apply to the process of data understanding.
  • Other relevant terms can be obtained from this, which can be assigned to the analyzed page.
  • Semantic Analysis is often compared to syntactic analysis, but the two are fundamentally different.
  • Statistical methods, on the other hand, involve analyzing large amounts of data to identify patterns and trends.
  • This proficiency goes beyond comprehension; it drives data analysis, guides customer feedback strategies, shapes customer-centric approaches, automates processes, and deciphers unstructured text.

As we look ahead, it’s evident that the confluence of human language and technology will only grow stronger, creating possibilities that we can only begin to imagine. IBM’s Watson provides a conversation service that uses semantic analysis (natural language understanding) and deep learning to derive meaning from unstructured data. It analyzes text to reveal the type of sentiment, emotion, data category, and the relation between words based on the semantic role of the keywords used in the text. According to IBM, semantic analysis has saved 50% of the company’s time on the information gathering process. It goes beyond merely analyzing a sentence’s syntax (structure and grammar) and delves into the intended meaning.

Word Sense Disambiguation

Word Sense Disambiguation (WSD) involves interpreting the meaning of a word based on the context of its occurrence in a text. Semantic analysis is done by analyzing the grammatical structure of a piece of text and understanding how one word in a sentence is related to another. One of the advantages of rule-based methods is that they can be very accurate, as they are based on well-established linguistic theories. However, they can also be very time-consuming and difficult to create, as they require a deep understanding of language and linguistics. There are several methods used in Semantic Analysis, each with its own strengths and weaknesses. Some of the most common methods include rule-based methods, statistical methods, and machine learning methods.

On seeing a negative customer sentiment mentioned, a company can quickly react and nip the problem in the bud before it escalates into a brand reputation crisis. Semantic analysis, often referred to as meaning analysis, is a process used in linguistics, computer science, and data analytics to derive and understand the meaning of a given text or set of texts. In computer science, it’s extensively used in compiler design, where it ensures that the code written follows the correct syntax and semantics of the programming language. In the context of natural language processing and big data analytics, it delves into understanding the contextual meaning of individual words used, sentences, and even entire documents. By breaking down the linguistic constructs and relationships, semantic analysis helps machines to grasp the underlying significance, themes, and emotions carried by the text.

This step is termed ‘lexical semantics‘ and refers to fetching the dictionary definition for the words in the text. Each element is designated a grammatical role, and the whole structure is processed to cut down on any confusion caused by ambiguous words having multiple meanings. Semantics is a subfield of linguistics that deals with the meaning of words and phrases. It is also an essential component of data science, which involves the collection, analysis, and interpretation of large datasets. In this article, we will explore how semantics and data science intersect, and how semantic analysis can be used to extract meaningful insights from complex datasets.

The main difference between them is that in polysemy, the meanings of the words are related but in homonymy, the meanings of the words are not related. For example, if we talk about the same word “Bank”, we can write the meaning ‘a financial institution’ or ‘a river bank’. In that case it would be the example of homonym because the meanings are unrelated Chat PG to each other. Thus, the ability of a machine to overcome the ambiguity involved in identifying the meaning of a word based on its usage and context is called Word Sense Disambiguation. QuestionPro, a survey and research platform, might have certain features or functionalities that could complement or support the semantic analysis process.

Both syntax tree of previous phase and symbol table are used to check the consistency of the given code. Type checking is an important part of semantic analysis where compiler makes sure that each operator has matching operands. The automated process of identifying in which sense is a word used according to its context. With the help of meaning representation, unambiguous, canonical forms can be represented at the lexical level. The very first reason is that with the help of meaning representation the linking of linguistic elements to the non-linguistic elements can be done.

Without semantic analysis, computers would not be able to distinguish between different meanings of the same word or interpret sarcasm and irony, leading to inaccurate results. Semantic analysis has firmly positioned itself as a cornerstone in the world of natural language processing, ushering in an era where machines not only process text but genuinely understand it. As we’ve seen, from chatbots enhancing user interactions to sentiment analysis decoding the myriad emotions within textual data, the impact of semantic data analysis alone is profound. As technology continues to evolve, one can only anticipate even deeper integrations and innovative applications.

Semantic analysis stands as the cornerstone in navigating the complexities of unstructured data, revolutionizing how computer science approaches language comprehension. Its prowess in both lexical semantics and syntactic analysis enables the extraction of invaluable insights from diverse sources. Semantic analysis significantly improves language understanding, enabling machines to process, analyze, and generate text with greater accuracy and context sensitivity. Indeed, semantic analysis is pivotal, fostering better user experiences and enabling more efficient information retrieval and processing. Lexical semantics plays an important role in semantic analysis, allowing machines to understand relationships between lexical items like words, phrasal verbs, etc. Statistical methods involve analyzing large amounts of data to identify patterns and trends.

Uber strategically analyzes user sentiments by closely monitoring social networks when rolling out new app versions. This practice, known as “social listening,” involves gauging user satisfaction or dissatisfaction through social media channels. Customers benefit from such a support system as they receive timely and accurate responses on the issues raised by them. Moreover, the system can prioritize or flag urgent requests and route them to the respective customer service teams for immediate action with semantic analysis. Moreover, granular insights derived from the text allow teams to identify the areas with loopholes and work on their improvement on priority. By using semantic analysis tools, concerned business stakeholders can improve decision-making and customer experience.

Differences, as well as similarities between various lexical-semantic structures, are also analyzed. The meaning representation can be used to reason for verifying what is correct in the world as well as to extract the knowledge with the help of semantic representation. With the https://chat.openai.com/ help of meaning representation, we can represent unambiguously, canonical forms at the lexical level. In AI and machine learning, semantic analysis helps in feature extraction, sentiment analysis, and understanding relationships in data, which enhances the performance of models.

One of the most common applications of semantics in data science is natural language processing (NLP). NLP is a field of study that focuses on the interaction between computers and human language. It involves using statistical and machine learning techniques to analyze and interpret large amounts of text data, such as social media posts, news articles, and customer reviews. In some cases, it gets difficult to assign a sentiment classification to a phrase. That’s where the natural language processing-based sentiment analysis comes in handy, as the algorithm makes an effort to mimic regular human language. Semantic video analysis & content search uses machine learning and natural language processing to make media clips easy to query, discover and retrieve.

semantic analysis example

The more accurate the content of a publisher’s website can be determined with regard to its meaning, the more accurately display or text ads can be aligned to the website where they are placed. Semantic Analysis is crucial in many areas of AI and Machine Learning, particularly in NLP. Without semantic analysis, these technologies wouldn’t be able to understand or interpret human language effectively. Sentiment analysis, a subset of semantic analysis, dives deep into textual data to gauge emotions and sentiments.

Moreover, semantic categories such as, ‘is the chairman of,’ ‘main branch located a’’, ‘stays at,’ and others connect the above entities. Semantic analysis is a branch of general linguistics which is the process of understanding the meaning of the text. The process enables computers to identify and make sense of documents, paragraphs, sentences, and words as a whole.

When a customer submits a ticket saying, “My app crashes every time I try to login,” semantic analysis helps the system understand the criticality of the issue (app crash) and its context (during login). As a result, tickets can be automatically categorized, prioritized, and sometimes even provided to customer service teams with potential solutions without human intervention. NeuraSense Inc, a leading content streaming platform in 2023, has integrated advanced semantic analysis algorithms to provide highly personalized content recommendations to its users. By analyzing user reviews, feedback, and comments, the platform understands individual user sentiments and preferences.

It’s a key component of Natural Language Processing (NLP), a subfield of AI that focuses on the interaction between computers and humans. Expert.ai’s rule-based technology starts by reading all of the words within a piece of content to capture its real meaning. It then identifies the textual elements and assigns them to their logical and grammatical roles. Finally, it analyzes the surrounding text and text structure to accurately determine the proper meaning of the words in context. As discussed in previous articles, NLP cannot decipher ambiguous words, which are words that can have more than one meaning in different contexts. Semantic analysis is key to contextualization that helps disambiguate language data so text-based NLP applications can be more accurate.

This is why semantic analysis doesn’t just look at the relationship between individual words, but also looks at phrases, clauses, sentences, and paragraphs. This degree of language understanding can help companies automate even the most complex language-intensive processes and, in doing so, transform the way they do business. So the question is, why settle for an educated guess when you can rely on actual knowledge? Besides, Semantics Analysis is also widely employed to facilitate the processes of automated answering systems such as chatbots – that answer user queries without any human interventions. Moreover, QuestionPro might connect with other specialized semantic analysis tools or NLP platforms, depending on its integrations or APIs. This integration could enhance the analysis by leveraging more advanced semantic processing capabilities from external tools.

semantic analysis example

However, traditional statistical methods often fail to capture the richness and complexity of human language, which is why semantic analysis is becoming increasingly important in the field of data science. Rule-based methods involve creating a set of rules that the machine follows to interpret the meaning of words and sentences. Statistical methods, on the other hand, involve analyzing large amounts of data to identify patterns and trends. Machine learning methods involve training a machine to learn from data and make predictions or decisions based on that data. MonkeyLearn makes it simple for you to get started with automated semantic analysis tools.

The semantic analysis uses two distinct techniques to obtain information from text or corpus of data. The first technique refers to text classification, while the second relates to text extractor. Homonymy and polysemy deal with the closeness or relatedness of the senses between words. It is also sometimes difficult to distinguish homonymy from polysemy because the latter also deals with a pair of words that are written and pronounced in the same way.

It can also extract and classify relevant information from within videos themselves. The majority of the semantic analysis stages presented apply to the process of data understanding. Semantic analysis analyzes the grammatical format of sentences, including the arrangement of words, phrases, and clauses, to determine relationships between independent terms in a specific context. It is also a key component of several machine learning tools available today, such as search engines, chatbots, and text analysis software.

Semantics is an essential component of data science, particularly in the field of natural language processing. Applications of semantic analysis in data science include sentiment analysis, topic modelling, and text summarization, among others. Overall, the integration of semantics and data science has the potential to revolutionize the way we analyze and interpret large datasets. As such, it is a vital tool for businesses, researchers, and policymakers seeking to leverage the power of data to drive innovation and growth.

It may be defined as the words having same spelling or same form but having different and unrelated meaning. For example, the word “Bat” is a homonymy word because bat can be an implement to hit a ball or bat is a nocturnal flying mammal also. Google’s Hummingbird algorithm, made in 2013, makes search results more relevant by looking at what people are looking for.

For example, when you type a query into a search engine, it uses semantic analysis to understand the meaning of your query and provide relevant results. Similarly, when you use voice recognition software, it uses semantic analysis to interpret your spoken words and carry out your commands. For instance, when you type a query into a search engine, it uses semantic analysis to understand the meaning of your query and provide relevant results. Semantic analysis can also be combined with other data science techniques, such as machine learning and deep learning, to develop more powerful and accurate models for a wide range of applications. For example, semantic analysis can be used to improve the accuracy of text classification models, by enabling them to understand the nuances and subtleties of human language. Semantic analysis, a natural language processing method, entails examining the meaning of words and phrases to comprehend the intended purpose of a sentence or paragraph.

For example, the word ‘Blackberry’ could refer to a fruit, a company, or its products, along with several other meanings. Moreover, context is equally important while processing the language, as it takes into account the environment of the sentence and then attributes the correct meaning to it. Semantic Analysis is often compared to syntactic analysis, but the two are fundamentally different.

Semantic Analysis is a critical aspect of Artificial Intelligence and Machine Learning, playing a pivotal role in the interpretation and understanding of human language. Machine Learning has not only enhanced the accuracy of semantic analysis but has also paved the way for scalable, real-time analysis of vast textual datasets. As the field of ML continues to evolve, it’s anticipated that machine learning tools and its integration with semantic analysis will yield even more refined and accurate insights into human language. Semantic processing is when we apply meaning to words and compare/relate it to words with similar meanings. Semantic analysis techniques are also used to accurately interpret and classify the meaning or context of the page’s content and then populate it with targeted advertisements.

It saves a lot of time for the users as they can simply click on one of the search queries provided by the engine and get the desired result. As discussed earlier, semantic analysis is a vital component of any automated ticketing support. It understands the text within each ticket, filters it based on the context, and directs the tickets to the right person or department (IT help desk, legal or sales department, etc.).

What is Natural Language Processing NLP Chatbots?- Freshworks

What to Know to Build an AI Chatbot with NLP in Python

chatbot using nlp

Having a branching diagram of the possible conversation paths helps you think through what you are building. Now it’s time to take a closer look at all the core elements that make NLP chatbot happen. Still, the decoding/understanding of the text is, in both cases, largely based on the same principle of classification.

In fact, the two most annoying aspects of customer service—having to repeat yourself and being put on hold—can be resolved by this technology. NLP can comprehend, extract and translate valuable insights from any input given to it, growing above the linguistics barriers and understanding the dynamic working of the processes. Offering suggestions by analysing the data, NLP plays a pivotal role in the success of the logistics channel. The motivation behind this project was to create a simple chatbot using my newly acquired knowledge of Natural Language Processing (NLP) and Python programming. As one of my first projects in this field, I wanted to put my skills to the test and see what I could create.

  • A good NLP engine can make all the difference between a self-service chatbot that offers a great customer experience and one that frustrates your customers.
  • The stilted, buggy chatbots of old are called rule-based chatbots.These bots aren’t very flexible in how they interact with customers.
  • NLP is the technology that allows bots to communicate with people using natural language.
  • Consequently, it’s easier to design a natural-sounding, fluent narrative.
  • It provides customers with relevant information delivered in an accessible, conversational way.

It is also very important for the integration of voice assistants and building other types of software. In essence, a chatbot developer creates NLP models that enable computers to decode and even mimic the way humans communicate. You can create your free account now and start building your chatbot right off the bat. The most common way to do this is by coding a chatbot in a programming language like Python and using NLP libraries such as Natural Language Toolkit (NLTK) or spaCy. Building your own chatbot using NLP from scratch is the most complex and time-consuming method. So, unless you are a software developer specializing in chatbots and AI, you should consider one of the other methods listed below.

Some of the best chatbots with NLP are either very expensive or very difficult to learn. So we searched the web and pulled out three tools that are simple to use, don’t break the bank, and have top-notch functionalities. Last but not least, Tidio provides comprehensive analytics to help you monitor your chatbot’s performance and customer satisfaction. For instance, you can see the engagement rates, how many users found the chatbot helpful, or how many queries your bot couldn’t answer. So, if you want to avoid the hassle of developing and maintaining your own NLP conversational AI, you can use an NLP chatbot platform. These ready-to-use chatbot apps provide everything you need to create and deploy a chatbot, without any coding required.

With your NLP model trained and ready, it’s time to integrate it into a chatbot platform. Several platforms, such as Dialog Flow, Microsoft Bot Framework, and Rasa, provide tools for building, deploying, and managing chatbots. These platforms offer user-friendly interfaces, making it easier to design conversational flows, define intents, and connect your NLP model. In today’s digital age, where communication is not just a tool but a lifestyle, chatbots have emerged as game-changers.

The experience dredges up memories of frustrating and unnatural conversations, robotic rhetoric, and nonsensical responses. You type in your search query, not expecting much, but the response you get isn’t only helpful and https://chat.openai.com/ relevant — it’s conversational and engaging. After the previous steps, the machine can interact with people using their language. All we need is to input the data in our language, and the computer’s response will be clear.

This function is highly beneficial for chatbots that answer plenty of questions throughout the day. If your response rate to these questions is seemingly poor and could do with an innovative spin, this is an outstanding method. Although this chatbot may not have exceptional cognitive skills or be state-of-the-art, it was a great way for me to apply my skills and learn more about NLP and chatbot development. I hope this project inspires others to try their hand at creating their own chatbots and further explore the world of NLP. You can integrate our smart chatbots with messaging channels like WhatsApp, Facebook Messenger, Apple Business Chat, and other tools for a unified support experience. Customers love Freshworks because of its advanced, customizable NLP chatbots that provide quality 24/7 support to customers worldwide.

Natural Language Processing Chatbots: The Beginner’s Guide

NLP is a tool for computers to analyze, comprehend, and derive meaning from natural language in an intelligent and useful way. This goes way beyond the most recently developed chatbots and smart virtual assistants. In fact, natural language processing algorithms are everywhere from search, online translation, spam filters and spell checking.

Companies can automate slightly more complicated queries using NLP chatbots. This is possible because the NLP engine can decipher meaning out of unstructured data (data that the AI is not trained on). This gives them the freedom to automate more use cases and reduce the load on agents. In today’s cut-throat competition, businesses constantly seek opportunities to connect with customers in meaningful conversations. Conversational or NLP chatbots are becoming companies’ priority with the increasing need to develop more prominent communication platforms. On the other hand, NLP chatbots use natural language processing to understand questions regardless of phrasing.

If a chatbot can do that successfully, it’s probably an artificial intelligence chatbot instead of a simple rule-based bot. In terms of the learning algorithms and processes involved, language-learning chatbots rely heavily on machine-learning methods, especially statistical methods. They allow computers to analyze the rules of the structure and meaning of the language from data. Apps such as voice assistants and NLP-based chatbots can then use these language rules to process and generate a conversation. Scripted ai chatbots are chatbots that operate based on pre-determined scripts stored in their library. When a user inputs a query, or in the case of chatbots with speech-to-text conversion modules, speaks a query, the chatbot replies according to the predefined script within its library.

What Is Conversational AI? Examples And Platforms – Forbes

What Is Conversational AI? Examples And Platforms.

Posted: Sat, 30 Mar 2024 23:00:00 GMT [source]

Monitor the chatbot’s interactions, analyze user feedback, and continuously update and improve the model based on user interactions. Regular updates ensure that your chatbot stays relevant and adaptive to evolving user needs. Training AI with the help of entity and intent while implementing chatbot using nlp the NLP in the chatbots is highly helpful. By understanding the nature of the statement in the user response, the platform differentiates the statements and adjusts the conversation. Today, NLP chatbots are highly accurate and are capable of having unique 1-1 conversations.

In recent years, we’ve become familiar with chatbots and how beneficial they can be for business owners, employees, and customers alike. Despite what we’re used to and how their actions are fairly limited to scripted conversations and responses, the future of chatbots is life-changing, to say the least. This function holds plenty of rewards, really putting the ‘chat’ in the chatbot.

Build a Dialogflow-WhatsApp Chatbot without Coding

NLP-based chatbots can be integrated into various platforms such as websites, messaging apps, and virtual assistants. A. An NLP chatbot is a conversational agent that uses natural language processing to understand and respond to human language inputs. It uses machine learning algorithms to analyze text or speech and generate responses in a way that mimics human conversation.

chatbot using nlp

I followed a guide referenced in the project to learn the steps involved in creating an end-to-end chatbot. This included collecting data, choosing programming languages and NLP tools, training the chatbot, and testing and refining it before making it available to users. The data should be labeled and diverse to cover different scenarios.

Natural language understanding

NLP technology, including AI chatbots, empowers machines to rapidly understand, process, and respond to large volumes of text in real-time. You’ve likely encountered NLP in voice-guided GPS apps, virtual assistants, speech-to-text note creation apps, and other chatbots that offer app support in your everyday life. Natural Language Processing (NLP) is a branch of AI that focuses on the interaction between human and computer language.

chatbot using nlp

For instance, a B2C ecommerce store catering to younger audiences might want a more conversational, laid-back tone. However, a chatbot for a medical center, law firm, or serious B2B enterprise may want to keep things strictly professional at all times. Disney used NLP technology to create a chatbot based on a character from the popular 2016 movie, Zootopia. Users can actually converse with Officer Judy Hopps, who needs help solving a series of crimes.

Our DevOps engineers help companies with the endless process of securing both data and operations. One of the customers’ biggest concerns is getting transferred from one agent to another to resolve the query. Our intelligent agent handoff routes chats based on team member skill level and current chat load. This avoids the hassle of cherry-picking conversations and manually assigning them to agents. It keeps insomniacs company if they’re awake at night and need someone to talk to. The chatbot then accesses your inventory list to determine what’s in stock.

NLP chatbots have become more widespread as they deliver superior service and customer convenience. Any business using NLP in chatbot communication can enrich the user experience and engage customers. It provides customers with relevant information delivered in an accessible, conversational way. This chatbot uses the Chat class from the nltk.chat.util module to match user input against a list of predefined patterns (pairs). The reflections dictionary handles common variations of common words and phrases.

Chatbot

They save businesses the time, resources, and investment required to manage large-scale customer service teams. Using artificial intelligence, these computers process both spoken and written language. By the end of this guide, beginners will have a solid understanding of NLP and chatbots and will be equipped with the knowledge and skills needed to build their chatbots. Natural language processing for chatbot makes such bots very human-like.

AI chatbots find applications in various platforms, including automated chat support and virtual assistants designed to assist with tasks like recommending songs or restaurants. Chatbots, sophisticated conversational agents, streamline interactions between users and computers. Operating on Natural Language Processing (NLP) algorithms, they decipher user inputs, discern intent, and retrieve or generate pertinent information. With the ability to process diverse inputs—text, voice, or images—chatbots offer versatile engagement.

Customer Support System

For the training, companies use queries received from customers in previous conversations or call centre logs. You will need a large amount of data to train a chatbot to understand natural language. This data can be collected from various sources, such as customer service logs, social media, and forums.

In this article, we covered fields of Natural Language Processing, types of modern chatbots, usage of chatbots in business, and key steps for developing your NLP chatbot. We had to create such a bot that would not only be able to understand human speech like other bots for a website, but also analyze it, and give an appropriate response. Such bots can be made without any knowledge of programming technologies. The most common bots that can be made with TARS are website chatbots and Facebook Messenger chatbots. Generally, the “understanding” of the natural language (NLU) happens through the analysis of the text or speech input using a hierarchy of classification models. In fact, this chatbot technology can solve two of the most frustrating aspects of customer service, namely, having to repeat yourself and being put on hold.

This makes it challenging to integrate these chatbots with NLP-supported speech-to-text conversion modules, and they are rarely suitable for conversion into intelligent virtual assistants. Natural Language Processing or NLP is a prerequisite for our project. NLP allows computers and algorithms to understand human interactions via various languages. In order to process a large amount of natural language data, an AI will definitely need NLP or Natural Language Processing. Currently, we have a number of NLP research ongoing in order to improve the AI chatbots and help them understand the complicated nuances and undertones of human conversations.

chatbot using nlp

You can foun additiona information about ai customer service and artificial intelligence and NLP. Human reps will simply field fewer calls per day and focus almost exclusively on more advanced issues and proactive measures. Freshworks has a wealth of quality features that make it a can’t miss solution for NLP chatbot creation and implementation. To create your account, Google will share your name, email address, and profile picture with Botpress.See Botpress’ privacy policy and terms of service. NLP is far from being simple even with the use of a tool such as DialogFlow. However, it does make the task at hand more comprehensible and manageable. However, there are tools that can help you significantly simplify the process.

Why NLP is a must for your chatbot

While the builder is usually used to create a choose-your-adventure type of conversational flows, it does allow for Dialogflow integration. Another thing you can do to simplify your NLP chatbot building process is using a visual no-code bot builder – like Landbot – as your base in which you integrate the NLP element. In fact, when it comes down to it, your NLP bot can learn A LOT about efficiency and practicality from those rule-based “auto-response sequences” we dare to call chatbots. Read more about the difference between rules-based chatbots and AI chatbots. In the current world, computers are not just machines celebrated for their calculation powers. Today, the need of the hour is interactive and intelligent machines that can be used by all human beings alike.

An NLP chatbot is a virtual agent that understands and responds to human language messages. To show you how easy it is to create an NLP conversational chatbot, we’ll use Tidio. It’s a visual drag-and-drop builder with support for natural language processing and chatbot intent recognition. You don’t need any coding skills to use it—just some basic knowledge of how chatbots work. NLP algorithms for chatbots are designed to automatically process large amounts of natural language data. They’re typically based on statistical models which learn to recognize patterns in the data.

And that makes sense given how much better customer communications and overall customer satisfaction can be achieved with NLP for chatbots. The NLP market is expected to reach $26.4 billion by 2024 from $10.2 billion in 2019, at a CAGR of 21%. Also, businesses enjoy a higher rate of success when implementing conversational AI. Statistically, when using the bot, 72% of customers developed higher trust in business, 71% shared positive feedback with others, and 64% offered better ratings to brands on social media.

chatbot using nlp

If there is one industry that needs to avoid misunderstanding, it’s healthcare. NLP chatbot’s ability to converse with users in natural language allows them to accurately identify the intent and also convey the right response. Mainly used to secure feedback from the patient, maintain the review, and assist in the root cause analysis, NLP chatbots help the healthcare industry perform efficiently. One of the limitations of rule-based chatbots is their ability to answer a wide variety of questions. By and large, it can answer yes or no and simple direct-answer questions.

That makes them great virtual assistants and customer support representatives. A natural language processing chatbot can serve your clients the same way an agent would. Natural Language Processing chatbots provide a better experience for your users, leading to higher customer satisfaction Chat PG levels. And while that’s often a good enough goal in its own right, once you’ve decided to create an NLP chatbot for your business, there are plenty of other benefits it can offer. Essentially, it’s a chatbot that uses conversational AI to power its interactions with users.

Here’s an example of how differently these two chatbots respond to questions. Some might say, though, that chatbots have many limitations, and they definitely can’t carry a conversation the way a human can. Here are three key terms that will help you understand how NLP chatbots work.

chatbot using nlp

In this guide, one will learn about the basics of NLP and chatbots, including the basic concepts, techniques, and tools involved in creating a chatbot. Traditional text-based chatbots learn keyword questions and the answers related to them — this is great for simple queries. However, keyword-led chatbots can’t respond to questions they’re not programmed for. This limited scope leads to frustration when customers don’t receive the right information. Chatbots are becoming increasingly popular as businesses seek to automate customer service and streamline interactions. Building a chatbot can be a fun and educational project to help you gain practical skills in NLP and programming.

Businesses love them because they increase engagement and reduce operational costs. And these are just some of the benefits businesses will see with an NLP chatbot on their support team. Here’s a crash course on how NLP chatbots work, the difference between NLP bots and the clunky chatbots of old — and how next-gen generative AI chatbots are revolutionizing the world of NLP. IntelliCoworks is a leading DevOps, SecOps and DataOps service provider and specializes in delivering tailored solutions using the latest technologies to serve various industries.

Masyarakat Dapat Menghancurkan Strategi Untuk Mengekang HIV

Masyarakat Dapat Menghancurkan Strategi Untuk Mengekang HIV – Masyarakat telah lama memainkan peran penting dalam memerangi HIV. Aktivisme dan advokasi mereka sangat mempengaruhi respon terhadap HIV/AIDS selama empat dekade terakhir.

Sejak awal 1980-an, masyarakat telah memperjuangkan hak dan kebutuhan mereka yang paling terkena dampak. Misalnya, menghadapi stigma dan diskriminasi, komunitas gay di AS memberikan saran, perawatan, dan dukungan pencegahan. Mereka juga berjuang untuk pengembangan dan akses pengobatan.

Masyarakat Dapat Menghancurkan Strategi Untuk Mengekang HIV

Pada pertengahan 1980-an tingkat pandemi di tempat lain di dunia menjadi jelas. Aktivisme komunitas internasional, regional dan lokal menjadi alat dalam memperjuangkan akses ke pengobatan dan intervensi tingkat kebijakan yang lebih kuat.

Komunitas di seluruh Afrika, serta mereka yang mewakili kelompok rentan seperti pekerja seks, mulai menuntut keterlibatan dalam perang melawan HIV.

Tidak ada tempat yang lebih menonjol daripada di Afrika Selatan, yang terus menanggung beban HIV tertinggi di dunia. Pada akhir 1990-an mobilisasi dan aktivisme masyarakat menjadi inti dari banyak perdebatan seputar HIV/AIDS.

Kemenangan yang mereka dapatkan sangat penting. Berjuang melawan pemerintahan yang menyangkal adanya hubungan antara HIV dan AIDS, komunitas dan kelompok advokasi berhasil memobilisasi aksi di sejumlah bidang. Mereka berjuang untuk dan memenangkan penyediaan nevirapine untuk ibu hamil HIV-positif dan kemudian berjuang untuk penyediaan pengobatan ARV untuk semua orang HIV-positif.

Komunitas terus menjadi vital dalam upaya mengendalikan pandemi, membuktikan diri mereka sebagai pemelihara dan penjaga pengetahuan yang kaya yang menciptakan konteks di mana penularan HIV terjadi.

Mereka juga dapat menjadi katalis untuk perubahan sosial yang diperlukan untuk mengurangi penularan HIV di masa depan pada populasi kunci. Salah satu contohnya adalah infeksi HIV di kalangan perempuan muda, yang tetap menjadi kelompok paling rentan di Afrika bagian selatan.

Norma sosial

Mengapa komunitas menjadi dasar bagi rancangan intervensi pencegahan HIV di masa depan? Jawabannya terletak pada kenyataan bahwa penularan HIV sangat sosial.

Di Afrika sub-Sahara, HIV ditularkan terutama dalam konteks hubungan seks heteroseksual, yang dibentuk dan dikendalikan oleh norma-norma sosial dan budaya. Penelitian menyoroti sejumlah praktik sosial yang menghambat upaya pencegahan HIV. Ini termasuk:

  • berjuang untuk menegosiasikan penggunaan kondom dalam hubungan,
  • penggunaan produk vagina untuk meningkatkan seks,
  • isu-isu stigma, kekerasan seksual dan kemiskinan, dan
  • akses ke layanan perawatan kesehatan seksual dan reproduksi.

Model individu dari pemahaman risiko tidak menangkap kompleksitas penuh dari penularan HIV. Ini karena penularan HIV berakar pada praktik sosial, dan dipengaruhi oleh konteks yang lebih luas.

Cara yang baik untuk menggambarkan hal ini adalah dengan mempertimbangkan faktor-faktor yang mendorong penularan HIV di antara perempuan muda. Mereka adalah yang paling terbebani oleh HIV di Afrika timur dan selatan dan menyumbang lebih dari seperempat infeksi baru pada 2018 namun mereka hanya mencapai 10% dari populasi.

Selain itu, perempuan muda memiliki tingkat infeksi HIV yang lebih tinggi daripada rekan laki-laki mereka, tertular HIV antara lima sampai tujuh tahun lebih awal dari rekan laki-laki mereka.

Masyarakat Dapat Menghancurkan Strategi Untuk Mengekang HIV

Ketidakseimbangan gender dalam infeksi HIV adalah hasil dari banyak faktor berbeda yang melintasi konteks di mana perempuan menegosiasikan hidup mereka. Ini berkisar dari kerentanan biologis (termasuk peradangan genital dan keragaman mikroba vagina), hingga hubungan, konteks keluarga, tingkat penyelesaian sekolah, dan dunia sosial-politik yang lebih luas.

Ini berarti bahwa pencegahan penularan HIV menuntut keterlibatan yang mendalam dengan faktor-faktor sosial, budaya, masyarakat dan politik yang menghasilkan kerentanan dan risiko.

Dalam pencegahan HIV, ini melibatkan perancangan intervensi yang menangani kompleksitas bagaimana perempuan muda dapat terinfeksi dan upaya pencegahan potensial apa yang perlu diambil.

COVID-19 Memperkuat Kompleksitas Disabilitas dan Ras

COVID-19 Memperkuat Kompleksitas Disabilitas dan Ras – Di Kanada, COVID-19 telah memperburuk ketidaksetaraan institusional dan sistemik yang sudah berlangsung lama bagi penyandang disabilitas. Dan ketidaksetaraan ini berakar pada kemampuan.

Ableism mewakili keyakinan, praktik sosial, dan kebijakan yang (kembali) menghasilkan dan mengutamakan harapan akan kemampuan dan pikiran yang mampu. Mengakibatkan marginalisasi, pengucilan dan penindasan terhadap orang-orang dengan perbedaan pikiran/tubuh.

COVID-19 Memperkuat Kompleksitas Disabilitas dan Ras

Identitas penyandang disabilitas juga bersifat interseksional mereka mungkin mengalami rasisme, gender, lanjut usia, mungkin hidup dalam kemiskinan dan/atau merupakan bagian dari komunitas pendatang baru.

Sudut pandang ini lebih lanjut mengungkapkan ketidakadilan yang terus-menerus dan tidak terlihat yang dialami penyandang disabilitas dan penting untuk mengembangkan kebijakan, sumber daya, dan dukungan bagi mereka yang terkena dampak pandemi.

Istilah interseksionalitas, yang diciptakan oleh sarjana hukum feminis kulit hitam Kimberlé Crenshaw, menggambarkan bagaimana penindasan sistemik yang dialami perempuan kulit hitam berbeda dari pria kulit hitam atau perempuan kulit putih karena efek jalinan dari berbagai sistem penindasan (seperti rasisme, kemampuan, seksisme, ageisme dan lain-lain).

Lensa interseksional memungkinkan kita untuk memeriksa bagaimana identitas sosial orang yang berbeda (ras, kemampuan, jenis kelamin, dan usia) saling berhubungan. Bagaimana konteks yang berbeda menciptakan hak istimewa (keadaan visibilitas, nilai, akses ke sumber daya dan peluang untuk gerakan ke atas), dan/atau penindasan (keadaan tidak terlihat, devaluasi, kurangnya sumber daya/akses ke sana dan peluang terbatas).

Pengalaman dan interseksionalitas disabilitas

Berikut ini adalah kisah-kisah yang telah dibagikan oleh rekan-rekan kami kepada kami.

Jeff Preston adalah seorang pria kulit putih yang telah hidup dengan disabilitas sepanjang hidupnya. Dia tumbuh dengan dukungan keluarganya, bersekolah dan mendapatkan gelar PhD. Dia sekarang menjadi asisten profesor di Disability Studies di King’s University College di Western University di London, Ontario.

Dia menggunakan kursi roda listrik dan membutuhkan bantuan dari pembantunya. Bantuan ini memungkinkan dia untuk bangun dari tempat tidur, berpakaian dan mulai bekerja.

“Yang penting di sini adalah keseharian saya. Pembantu saya dan akses ke sumber daya. Pada Hari 1 pandemi, salah satu pelayan saya mengundurkan diri saat mereka hendak pulang. Satu lagi … sekarang tidak kembali, jadi saya turun dua petugas. Jika saya kehilangan yang lain, saya akan berada di posisi yang sulit. Bagaimana saya akan bangun dari tempat tidur? Bagaimana saya bisa bekerja? Apa yang terjadi jika saya sakit?”

Preston memiliki hak istimewa sebagai pria kulit putih dan profesor universitas yang dibesarkan dalam keluarga dengan sumber keuangan dan sosial untuk mendukung dia dan pendidikannya. Dia menerima dana langsung untuk mempekerjakan petugas untuk mendukung kegiatan sehari-harinya, yang rumit oleh pandemi.

COVID-19 Memperkuat Kompleksitas Disabilitas dan Ras

Mandat pemerintah untuk tinggal di rumah dan mengikuti pedoman jarak fisik dan sosial yang ketat mengasumsikan bahwa semua orang dapat mematuhinya. Bagi Preston, seperti penyandang disabilitas lainnya, mandat ini tidak mempertimbangkan kebutuhannya akan pendamping untuk melanjutkan kehidupan sehari-harinya.

Jheanelle Anderson adalah seorang wanita imigran cacat kulit hitam dengan cacat bawaan dan penyakit autoimun. Ketika keluarganya berimigrasi ke Kanada, dia ditinggalkan karena dicap secara medis tidak dapat diterima di bawah Undang-Undang Imigrasi Kanada yang mampu. Setelah menjalani operasi untuk mengamputasi kakinya, dia dapat bergabung kembali dengan keluarganya di Kanada.

Tidak dapat diterimanya awalnya ke Kanada mencerminkan keterjeratan rasisme dan kemampuan untuk mencegah beberapa orang keluar. Sementara Jheanelle merasa bahwa dia memiliki transisi yang lebih mudah daripada kebanyakan imigran yang diberikan dukungan keluarga, perasaan terbebani tetap ada dalam dirinya.

Double Declining Balance Method of Depreciation

double declining depreciation

If you need expert bookkeeping assistance, Bench can help you get your books in order while you focus on what’s important for your business. You can connect with a licensed CPA or EA who can file your business tax returns. This method is an essential tool in the arsenal of financial professionals, enabling a more accurate reflection of an asset’s value over time in balance sheets and financial statements.

What is the Double Declining Balance Method?

The basis for depreciation on the house is the FMV on the date of change ($165,000) because it is less than Nia’s adjusted basis ($178,000). Other basis usually refers to basis that is determined by the way you received the property. For example, your basis is other than cost if you acquired the property in exchange for https://minnesotadigest.com/navigating-financial-growth-leveraging-bookkeeping-and-accounting-services-for-startups/ other property, as payment for services you performed, as a gift, or as an inheritance. If you are in the business of renting videocassettes, you can depreciate only those videocassettes bought for rental. If the videocassette has a useful life of 1 year or less, you can currently deduct the cost as a business expense.

Double Declining Balance Method vs. Straight Line Depreciation

If you construct, build, or otherwise produce property for use in your business, you may have to use the uniform capitalization rules to determine the basis of your property. For information about the uniform capitalization rules, see Pub. 551 and the regulations under section 263A of the Internal Revenue Code.

  • You treat property under the mid-quarter convention as placed in service or disposed of on the midpoint of the quarter of the tax year in which it is placed in service or disposed of.
  • Since different assets depreciate in different ways, there are other ways to calculate it.
  • At the beginning of Year 5, the asset’s book value will be $40,960.
  • You cannot depreciate inventory because it is not held for use in your business.

Analyze the Income Statement

You can claim the section 179 deduction and a special depreciation allowance for listed property and depreciate listed property using GDS and a declining balance method if the property meets the business-use requirement. To meet this requirement, listed property must be used predominantly (more than 50% of its total use) for qualified business use. The fraction’s numerator is the number of months (including parts of a month) the property is treated as in service during the tax year (applying the applicable convention). When using Navigating Financial Growth: Leveraging Bookkeeping and Accounting Services for Startups a declining balance method, you apply the same depreciation rate each year to the adjusted basis of your property. You must use the applicable convention for the first tax year and you must switch to the straight line method beginning in the first year for which it will give an equal or greater deduction. If you file Form 3115 and change from an impermissible method to a permissible method of accounting for depreciation, you can make a section 481(a) adjustment for any unclaimed or excess amount of allowable depreciation.

double declining depreciation

What Assets Are DDB Best Used For?

Expenses generally paid by a buyer to research the title of real property. You can use Schedule LEP (Form 1040), Request for Change in Language Preference, to state a preference to receive notices, letters, or other written communications from the IRS in an alternative language. You may not immediately receive written communications in the requested language.

double declining depreciation

Calculating Depreciation Expense Using DDB

Acara & Festival Khas Masyarakat Amerika

Acara & Festival Khas Masyarakat Amerika – Amerika Serikat dikenal sebagai negara yang memiliki semangat membara. Kebanggaan bangsa begitu penting, dan setiap daerah mepunyai tradisinya masing-masing. Akan tetapi, ada beberapa acara tahunan yang dipuja secara universal. Banyak pengunjung merencanakan perjalanan ke AS untuk dapat bertepatan dengan acara dan festival khas masyarakat di Amerika yang ingin mereka hadiri. Peristiwa berulang ini berlangsung sepanjang tahun.

Berikut ini adalah beberapa festival dan hari libur AS yang menjadi favorit para masyarakatnya untuk menginspirasi petualangan mereka dan para turis di Amerika:

1. Sundance Film Festival (Park City, Utah).

Acara & Festival Khas Masyarakat Amerika

Sundance Film Festival adalah festival film independen terbesar di Amerika Serikat. Ini adalah program Institut Sundance dan berlangsung di Park City, Utah, setiap tahun. Festival ini berfungsi sebagai showcase untuk pembuat film indie lokal dan internasional. Ini merayakan dokumenter, film layar lebar dan film pendek. Sundance adalah pilihan tepat bagi pecinta film yang menyukai film inovatif. Ada juga diskusi panel untuk dinikmati.

2. Super Bowl Sunday (Hard Rock Stadium, Miami, Florida).

Super Bowl sama Amerika seperti roti jagung dan ayam goreng. Setahun sekali, dua tim sepak bola top Amerika saling berhadapan di tengah keriuhan yang meriah. Acara yang banyak dicari ini biasanya berlangsung di salah satu arena sepak bola besar kota sabuk matahari di AS. Selain permainan, kartu undian besar adalah hiburan paruh waktu. Biasanya menampilkan pertunjukan rumit oleh artis-artis besar seperti Beyonce atau Madonna. Tiket mahal. Bisa naik hingga $ 4.000 per kursi! Kabar baiknya adalah Anda bisa ikut bersenang-senang di mana pun Anda berada di AS. Cukup pergi ke pub atau restoran yang akan menampilkan permainan tersebut. Ini cara yang luar biasa untuk melihat orang Amerika dalam kondisi patriotik terbaik mereka.

3. Mardi Gras (New Orleans, Louisiana).

Mardi Gras adalah karnaval indah yang berlangsung di New Orleans setiap tahun. Festival ini dapat ditelusuri kembali ke Eropa abad pertengahan. Itu dibawa ke Amerika oleh penjelajah Prancis-Kanada Jean Baptiste Le Moyne Sieur de Bienville. Dia menetap di dekat New Orleans pada tahun 1699. Mardi Gras pertama dirayakan pada tahun 1703. Sekarang ini adalah karnaval ramah keluarga dengan kendaraan hias, hiburan dan makanan yang luar biasa. Ini sangat menyenangkan dan cara yang bagus untuk merasakan suasana Louisiana yang tak ada bandingannya.

4. Masters Golf Tournament (Augusta National Gold Club, Georgia).

Penggemar golf di seluruh dunia pasti akan menempatkan turnamen ini di dekat bagian atas daftar keinginan mereka! Sebagai salah satu dari empat acara utama dalam golf profesional, ini adalah pertunjukan sportivitas yang epik. Itu berlangsung di Augusta National Golf Club di Georgia setiap tahun. Tiket agak sulit didapat. Karena turnamen ini sangat populer, calon peserta harus mengikuti ‘undian’ untuk mendapatkan tiket. Karena itu, mungkin sulit untuk hadir dengan cepat saat Anda melakukan tur di AS. Namun, Anda dapat menikmatinya di TV bersama para penggemar golf AS dalam perjalanan Anda. Turnamen pertama dimainkan pada tahun 1939 dan terkenal sebagai acara golf pertama yang disiarkan di radio.

5. Coachella (Empire Polo Club di Indio, California).

Coachella adalah salah satu festival musik yang paling disukai di AS. Ini sebenarnya secara resmi disebut Festival Musik dan Seni Coachella Valley. Karena itu, ada komponen seni juga. Festival ini diselenggarakan setiap tahun di Empire Polo Club di Indio, California. Ini dinamai lembah di gurun Colorado tempat itu terjadi. Di sini, Anda akan bertemu dengan beberapa artis dan band paling terkenal di dunia. Banyak selebritis yang hadir sebagai penonton festival juga. Ini juga merupakan hotspot mode. Semua orang berpakaian sampai sembilan. Singkatnya, itu keren sampai ke intinya. Tahun ini festival diulangi selama dua akhir pekan yang berbeda. Rencanakan perjalanan Anda di AS agar bertepatan.

6. The Boston Marathon (Boston, Massachusetts).

Maraton Boston adalah acara lari tahunan. Itu terjadi di berbagai kota di wilayah Boston yang lebih besar di Massachusetts. Maraton Boston dimulai pada tahun 1897, dengan hanya 15 peserta, dan merupakan maraton tahunan tertua di dunia! Hari ini, maraton menarik pelari dari jauh dan luas, dan penonton berbaris di jalanan. Suasana periang melegenda. Acara tersebut berlangsung pada Hari Patriot (Senin ketiga April). Jika Anda ingin menyemangati para atlet, Anda bisa melakukan pitch up pada hari itu. Jika Anda ingin ikut serta, pendaftaran dimulai pada bulan September setiap tahun.

7. Independence Day (Di Seluruh AS).

Hari kemerdekaan adalah hari libur patriotik AS yang dirayakan pada tanggal 4 Juli. Ini memperingati penerbitan Deklarasi Kemerdekaan. Ini adalah dokumen yang dibuat pada tahun 1776, menyatakan niat serikat untuk menantang Inggris untuk kemerdekaan mereka. Hari-hari ini, ini adalah hari libur umum dan pesta meriah di seluruh negeri. Saat ini sedang puncak musim panas, jadi nantikan banyak barbekyu di mana-mana. Semangat Hari Kemerdekaan bisa dinikmati dimanapun di Amerika pada tanggal 4 Juli.

8. Comic-Con International (San Diego, California).

Acara & Festival Khas Masyarakat Amerika

Comic-Con International berlangsung di San Diego setiap tahun. Hiburan multi-genre dan acara komik ini wajib bagi pecinta budaya pop. Di sini Anda akan menemukan semua komik dan novel grafis terbaru. Belum lagi anime dan manga. Video game, film, dan barang-barang kolektor juga menonjol. Tapi alasan sebenarnya banyak orang pergi adalah untuk menikmati kostumnya. Peserta Comic-Con terkenal dengan kostumnya yang rumit. Banyak orang berdandan seperti karakter favorit mereka dari novel grafis dan film. Sungguh pemandangan yang menakjubkan.

9. Lollapalooza (Chicago, Illinois).

Jika heavy metal, pop atau rock adalah kesukaan Anda, Lollapalooza di Chicago adalah festival musik untuk Anda. Festival ini juga menampilkan band EDM, artis, penari, dan stand-up comedian. Ini pada dasarnya memainkan tuan rumah bagi band-band A-list di semua genre. Grant Park memberikan latar yang sempurna untuk acara luar biasa ini. Ada berbagai jenis tiket yang tersedia. Jadi, jika Anda sedang tur, Anda dapat membeli tiket masuk sehari jika Anda merencanakannya dengan benar.

10. Burning Man Festival (Black Rock Desert, Nevada).

Burning Man adalah acara tandingan ikonik yang menarik pengunjung dari seluruh dunia. Itu terjadi di Gurun Black Rock di Nevada utara setiap tahun di mana kota sementara dibangun untuk menjadi tuan rumah festival. Burning Man dimulai pada tahun 1986, dengan pembakaran patung kayu di sebuah pantai di San Francisco, ada 20 orang yang hadir malam itu dan pada tahun berikutnya, jumlahnya meningkat menjadi 80! Kejadian imajinatif ini adalah perayaan semua hal yang fantastis. Pikirkan struktur yang mustahil, orang-orang yang mempesona dan instalasi seni yang luar biasa. Ekspresi diri artistik adalah nama permainannya. Banyak tamu yang mengenakan kostum indah sesuai dengan tema tahunan.

Aspek menarik lainnya dari Burning Man adalah budaya pemberian hadiah. Setiap orang membawa sesuatu untuk diberikan kepada sesama penonton festival secara gratis. Anda mungkin akan diberikan sepotong French toast yang enak. Atau ditawarkan mandi kabut pendingin. Itu tidak selalu berwujud. Beberapa mungkin menulis puisi untuk Anda.

11. US Open Tennis Championships (USTA Billie Jean King National Tennis Center, New York).

AS Terbuka adalah salah satu kejuaraan tenis lapangan keras terpenting di dunia. Ini berlangsung setiap tahun di Pusat Tenis Nasional USTA Billie Jean King. Tiket tersedia hampir setahun sebelumnya, sehingga Anda dapat mengamankan tempat duduk Anda dan merencanakan perjalanan Anda dengan sesuai. Pastikan Anda berada di New York pada waktu yang tepat.

12. Halloween (Di Seluruh AS).

Ini mungkin bukan hari libur, tapi Halloween dirayakan di seluruh AS, dengan parade dan segalanya! Anak-anak (dan orang dewasa) di seluruh negeri mengenakan kostum dan berkeliaran di lingkungan mereka mencari suguhan permen. Banyak kota besar dan kecil mengadakan parade kostum. Parade terbaik ditemukan di Greenwich Village Kota New York dan di San Francisco. Saksikan orang-orang yang bersuka ria muncul dengan kostum yang rumit dan putar sorak-sorai meriah. Kunjungi di sini untuk melihat apa lagi yang memasak di kota-kota besar AS pada Halloween.

13. Thanksgiving Day (Di Seluruh AS).

Thanksgiving adalah hari libur yang dirayakan di Amerika dan Kanada. Di AS, itu berlangsung pada Kamis keempat bulan November. Ini dimulai sebagai festival panen. Hari ini adalah kesempatan untuk mengumpulkan seluruh keluarga untuk bersyukur atas tahun yang sejahtera. Namun, ada banyak perayaan publik yang bisa dinikmati juga. Salah satu yang paling terkenal adalah parade department store Macy di New York. Ini menandai pembukaan musim belanja yang meriah. Pengunjung datang dari jauh untuk menikmati suasana yang ramai. Pawai ini juga dikenal dengan marching band dan penghiburnya, dan tentu saja balon bertambat besar dari karakter kartun terkenal.

14. New Year’s Eve in Times Square (Di Seluruh AS).

Orang Amerika tahu bagaimana melakukan Tahun Baru. Mereka pergi keluar dengan pesta pora. Malam Tahun Baru di Times Square di New York adalah sesuatu yang luar biasa. Energinya terlihat jelas saat penonton menunggu bola jatuh. Diperkirakan 1 juta orang berkumpul di sini setiap tahun untuk merayakan tahun baru. Banyak lagi yang menontonnya di TV dari seluruh dunia. Rencanakan tur AS Anda di sekitar Malam Tahun Baru dan rasakan sendiri.