{"id":246912,"date":"2022-04-18T14:01:03","date_gmt":"2022-04-18T14:01:03","guid":{"rendered":"https:\/\/imarticus.org\/?p=246912"},"modified":"2022-04-19T14:06:30","modified_gmt":"2022-04-19T14:06:30","slug":"understanding-natural-language-processing-in-a-few-minutes","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/understanding-natural-language-processing-in-a-few-minutes\/","title":{"rendered":"Understanding Natural Language Processing In A Few Minutes"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">In the last few years, <\/span><b>Natural Language Processing<\/b><span style=\"font-weight: 400;\"> (NLP) has become the focus of Artificial Intelligence with the introduction of game-changing new applications and models. This article will also provide a brief on <\/span><b>AI certification<\/b><span style=\"font-weight: 400;\"> tests. So, keep reading to know more about the current rage.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Technically, <\/span><b>Natural Language Processing <\/b><span style=\"font-weight: 400;\">(NLP) is the union of Artificial Intelligence (AI), Computer Science, and human language (Generally, English). It is the study through which you can teach computers how human beings inherently write, talk, and speak.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Now that the technical definition is out there, what do we really mean by NLP, which forms an important part of <\/span><a href=\"https:\/\/imarticus.org\/certification-in-artificial-intelligence-and-machine-learning-by-e-ict-iit-guwahati\/\"><b>AI and Machine Learning courses<\/b><\/a><span style=\"font-weight: 400;\">?\u00a0<\/span><\/p>\n<p><b>Real-world Examples of NLP\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Without realizing it, you\u2019ve come across NLP more often than you\u2019d admit. The virtual assistants on your smartphones like Google Assistant and Siri are the most common examples of NLP. They carefully listen to what you say and process that information in a language intelligible to their systems.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">So, generally, NLP can be used for Voice Commands, Text-to-Speech, Chatbots, Search Engines, Language Translation, Sentiment Analysis, and Spelling Checks.<\/span><\/p>\n<p><b>What is Natural Language Processing?\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Humans generally communicate with each other using natural language. Processing refers to the action of converting data into a form that can be easily understood by machines. Combining these two terms, we get Natural Language Processing which helps computers communicate with people in their natural language.\u00a0<\/span><\/p>\n<p><b>How does NLP work?\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">We use NLP software for pre-processing sentences in a natural language and structure that can be used for interpretation by machines.\u00a0<\/span><\/p>\n<p><b>Must-know Terms in NLP\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Let us understand the most important concepts in NLP through the example of this sentence: \u201cShe doesn\u2019t sing, but my son is a vocalist.\u201d<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Tokenization<\/b><span style=\"font-weight: 400;\">: In this process, a whole text is divided into tokens. A word tokenizer separates words, and the sentence tokenizer separates sentences.\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Example: Word-tokenize: \u201cShe\u201d, \u201cdoes\u201d, \u201cnot\u201d, \u201csing\u201d, \u201cbut\u201d, \u201cmy\u201d, \u201cson\u201d, \u201cis\u201d, \u201ca\u201d, \u201cvocalist\u201d.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Stopwords<\/b><span style=\"font-weight: 400;\">: These words don\u2019t add any meaning to the given sentence. The library \u201cnltk.corpus\u201d contains a list of stopwords. By importing this library, you can derive a sentence without stopwords.\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Example: Stopwords: \u201cshe\u201d, \u201cdoesn\u2019t\u201d, \u201cbut\u201d, \u201cmy\u201d, \u201cbut\u201d, \u201cis\u201d, \u201ca\u201d.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Part of Speech Tagging (POS Tagging)<\/b><span style=\"font-weight: 400;\">: Here, the words are tagged based on the part of speech they represent.\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Example:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">She: Personal pronoun\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Does: Verb<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Not: Negative particle\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Sing: Verb\u00a0\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">But: Conjunction<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">My: Possessive pronoun<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Son: Noun<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Is: Preposition<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A: Article<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Vocalist: Noun\n<p><\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Bag of Words<\/b><span style=\"font-weight: 400;\">: Once the sentence is cleaned, it\u2019s converted into vectors (numerical representation) for feeding into the ML model. We do this using predefined python libraries.\n<p><\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Stemming<\/b><span style=\"font-weight: 400;\">: Here, the words are reduced to the root form.\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Example: In this sentence, only \u201cdoes\u201d is converted to \u201cdo.\u201d<br \/>\n<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>WordNet<\/b><span style=\"font-weight: 400;\">: This is the dictionary for English that is made for NLP. You can use it to find synonyms and antonyms.\n<p><\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Lemmatizer<\/b><span style=\"font-weight: 400;\">: It works similarly to stemming except for returning a word that makes sense.\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Example:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Stemming: Vocalist &#8211; vocal<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Lemmatizing: Vocalist &#8211; voice<\/span><\/li>\n<\/ul>\n<p><b>Importance of NLP for AI Certification\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">NLP is essential for AI as it makes human language legible for machines. This process helps in creating structured data for software performing text analytics, speech recognition, etc.\u00a0<\/span><\/p>\n<p><b>About AI and Machine Learning Courses\u00a0<\/b><\/p>\n<p><a href=\"https:\/\/imarticus.org\/postgraduate-program-in-data-science-analytics\/\"><span style=\"font-weight: 400;\">Imarticus Learning<\/span><\/a><span style=\"font-weight: 400;\"> offers industry-ready <\/span><b>AI Certification<\/b><span style=\"font-weight: 400;\"> courses. To find out more, visit our centers in Mumbai, Pune, Jaipur, Delhi, Noida, Lucknow, Gurgaon, Chandigarh, Dubai, Patna, Bangalore, Chennai, and other places.\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the last few years, Natural Language Processing (NLP) has become the focus of Artificial Intelligence with the introduction of game-changing new applications and models. This article will also provide a brief on AI certification tests. So, keep reading to know more about the current rage. Technically, Natural Language Processing (NLP) is the union of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":246038,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_mo_disable_npp":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[23],"tags":[3403],"class_list":["post-246912","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-natural-language-processing"],"acf":[],"aioseo_notices":[],"modified_by":"Imarticus Learning","_links":{"self":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/246912","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/comments?post=246912"}],"version-history":[{"count":0,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/246912\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/media\/246038"}],"wp:attachment":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/media?parent=246912"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/categories?post=246912"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/tags?post=246912"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}