{"id":1121,"date":"2022-12-28T22:02:53","date_gmt":"2022-12-28T22:02:53","guid":{"rendered":"https:\/\/mbscv.co.id\/?p=1121"},"modified":"2024-03-06T04:57:16","modified_gmt":"2024-03-06T04:57:16","slug":"14-pure-language-processing-examples-nlp-examples","status":"publish","type":"post","link":"https:\/\/mbscv.co.id\/index.php\/2022\/12\/28\/14-pure-language-processing-examples-nlp-examples\/","title":{"rendered":"14 Pure Language Processing Examples Nlp Examples"},"content":{"rendered":"<p>They are successfully educated by their proprietor and, like other functions of NLP, study from experience to find a way to provide better, extra tailor-made assistance. Its primary aim is to simplify the process of going through huge quantities of information, such as scientific papers, news content material, or legal documentation. You could pull out the information you need and arrange a set off to automatically enter this info in your database. If you\u2019re at present accumulating lots of qualitative suggestions, we\u2019d love to help you glean actionable insights by  applying NLP. In layman\u2019s terms, a Query is your search term and a Document is a web page. Because we write them utilizing our language, NLP is important in making search work.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"https:\/\/globalcloudteam.com\/wp-content\/uploads\/2021\/03\/0215bc97-eb04-447d-85fa-62d675919649.jpg\" width=\"300px\" alt=\"natural language programming examples\"\/><\/p>\n<p>As talked about earlier, virtual assistants use pure language era to offer customers their desired response. To notice, one other one of the nice examples of pure language processing is GPT-3 which may produce human-like textual content on nearly any matter. The mannequin was educated on a massive dataset and has over 175 billion studying parameters. As a end result, it can produce articles, poetry, information reports, and other tales convincingly enough to seem like a human writer created them. When it comes to examples of pure language processing, search engines are most likely the most typical.<\/p>\n<h2>Optical Character Recognition<\/h2>\n<p>You can also find extra subtle models, like information extraction fashions, for achieving better results. The fashions are programmed in languages such as Python or with the assistance of tools like Google Cloud Natural Language and Microsoft Cognitive Services. For many companies, the chatbot is a major communication channel on the company web site or app.<\/p>\n<p>And autocorrect will generally even change words in order that the general message makes extra sense. Predictive text will customize itself to your private language quirks the longer you employ it. This makes for fun experiments where individuals will share whole sentences made up totally of predictive text on their telephones. The outcomes are surprisingly private and enlightening; they\u2019ve even been highlighted by several media shops.<\/p>\n<div style='text-align:center'><iframe width='566' height='318' src='https:\/\/www.youtube.com\/embed\/wMgVuRjccFI' frameborder='0' alt='natural language programming examples' allowfullscreen><\/iframe><\/div>\n<p>From predictive text to knowledge evaluation, NLP\u2019s purposes in our on a regular basis lives are far-ranging. It also consists of libraries for implementing capabilities such as semantic reasoning, the flexibility to achieve logical conclusions based on details extracted from textual content. The all new enterprise studio that brings collectively conventional machine learning together with new generative AI capabilities powered by basis fashions. An ontology class is a natural-language program that isn&#8217;t an idea in the sense as humans use ideas. As pure language processing is making significant strides in new fields, it is changing into more essential for developers to learn the means it works. NLP has existed for greater than 50 years and has roots in the area of linguistics.<\/p>\n<h2>Techniques And Methods Of Natural Language Processing<\/h2>\n<p>As a Gartner survey pointed out, employees who&#8217;re unaware of important information can make the wrong selections. Email filters are widespread NLP examples you can find online throughout most servers. Plus, instruments like MonkeyLearn\u2019s interactive Studio dashboard (see below) then let you see your evaluation in one place \u2013 click on the link above to play with our reside public demo. Smart assistants, which have been once within the realm of science fiction, are actually commonplace. This operate predicts what you might be trying to find, so you&#8217;ll find a way to merely click on on it and save yourself the trouble of typing it out.<\/p>\n<p>The first chatbot was created in 1966, thereby validating the in depth history of technological evolution of chatbots. The working mechanism in a lot of the NLP examples focuses on visualizing a sentence as a \u2018bag-of-words\u2019. NLP ignores the order of look of words in a sentence and only seems for the presence or absence of words in a sentence. The \u2018bag-of-words\u2019 algorithm involves encoding a sentence into numerical vectors appropriate for sentiment analysis. For example, words that appear incessantly in a sentence would have larger numerical worth.<\/p>\n<p>Human language is crammed with ambiguities that make it extremely troublesome to put in writing software program that accurately determines the supposed meaning of textual content or voice information. Semantic knowledge management methods enable organizations to retailer, classify, and retrieve data that, in flip, helps them enhance their processes, collaborate inside their teams, and enhance understanding of their operations. Here, probably the greatest NLP examples is where organizations use them to serve content material <a href=\"https:\/\/www.globalcloudteam.com\/9-natural-language-processing-examples-in-action\/\">natural language processing examples<\/a> in a knowledge base for purchasers or users. See how Repustate helped GTD semantically categorize, retailer, and process their knowledge. These are the most common pure language processing examples that you are likely to encounter in your daily and the most useful on your customer service teams. However, giant quantities of information are sometimes inconceivable to investigate manually.<\/p>\n<h2>My 25 Yr Long Journey In Artificial Intelligence<\/h2>\n<p>This helps organisations uncover what the brand picture of their company actually seems like through analysis the sentiment of their users\u2019 feedback on social media platforms. Predictive textual content and its cousin autocorrect have advanced a lot and now we&#8217;ve applications like Grammarly, which rely on pure language processing and machine learning. We also have Gmail\u2019s Smart Compose which finishes your sentences for you as you type <a href=\"https:\/\/www.globalcloudteam.com\/\">https:\/\/www.globalcloudteam.com\/<\/a>. None of this is ready to be potential with out NLP which permits chatbots to take heed to what clients are telling them and supply an acceptable response. This response is additional enhanced when sentiment evaluation and intent classification instruments are used. Now, however, it could possibly translate grammatically advanced sentences without any issues.<\/p>\n<ul>\n<li>As a matter of reality, chatbots had already made their mark before the arrival of good assistants such as Siri and Alexa.<\/li>\n<li>Then, the entities are categorized according to predefined classifications so this important info can shortly and simply be present in paperwork of all sizes and codecs, including information, spreadsheets, web pages and social textual content.<\/li>\n<li>And autocorrect will sometimes even change words in order that the general message makes more sense.<\/li>\n<\/ul>\n<p>That\u2019s why good assistants like Siri, Alexa and Google Assistant are rising more and more well-liked. Predictive text uses a powerful neural network model to \u201clearn\u201d from the user\u2019s conduct and recommend the subsequent word or phrase they are likely to type. In addition, it could possibly provide autocorrect suggestions and even learn new words that you sort regularly. Today, NLP has invaded almost every consumer-facing product from style advice bots (like the Stitch Fix bot) to AI-powered touchdown page bots. With Stitch Fix, as an example, folks can get customized fashion advice tailored to their individual type preferences by conversing with a chatbot.<\/p>\n<p>Many of these are found within the Natural Language Toolkit, or NLTK, an open source collection of libraries, packages, and schooling resources for constructing NLP applications. A natural-language program is a exact formal description of some process that its creator created. It is human readable and it may also be read by an appropriate software agent. For instance, an internet page in an NLP format can be learn by a software personal assistant agent to a person and she or he can ask the agent to execute some sentences, i.e. perform some task or answer a question.<\/p>\n<p>The last addition to this record of NLP examples would point to predictive text evaluation. You will need to have used predictive textual content in your smartphone while typing messages. Google is probably considered one of the greatest examples of utilizing NLP in predictive textual content evaluation. Predictive text evaluation purposes utilize a powerful neural community model for learning from the user habits to predict the next phrase or word.<\/p>\n<h2>Significance Of Pure Language Processing<\/h2>\n<p>However, the textual content paperwork, stories, PDFs and intranet pages that make up enterprise content are unstructured information, and, importantly, not labeled. This makes it difficult, if not impossible, for the information to be retrieved by search. A widespread example of speech recognition is the smartphone&#8217;s voice search integration. This characteristic allows a consumer to speak instantly into the search engine, and it&#8217;ll convert the sound into textual content, before conducting a search. Social media monitoring uses NLP to filter the overwhelming variety of feedback and queries that companies may obtain underneath a given publish, or even across all social channels.<\/p>\n<p>These intelligent machines are more and more present at the frontline of customer assist, as they might help groups solve up to 80% of all routine queries and route more complicated points to human agents. Available 24\/7, chatbots and digital assistants can pace up response instances, and relieve brokers from repetitive and time-consuming queries. Bag-of-words, for example, is an algorithm that encodes a sentence into a numerical vector, which can be utilized for sentiment evaluation. NLP can be used to great impact in quite so much  of business operations and processes to make them more environment friendly.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"307px\" alt=\"natural language programming examples\"\/><\/p>\n<p>If you\u2019re excited about learning extra about how NLP and other AI disciplines assist businesses, check out our dedicated use cases resource page. And yet, although NLP seems like a silver bullet that solves all, that is not the actuality. Getting started with one course of can certainly help us pave the way to construction further processes for extra complex concepts with extra data. The tools will notify you of any patterns and developments, for example, a glowing evaluation, which might be a constructive sentiment that can be used as a buyer testimonial. To higher perceive the applications of this know-how for businesses, let us take a look at an NLP instance.<\/p>\n<h2>Energy Bi Vs Tableau: What\u2019s The Best Knowledge Visualization Tool?<\/h2>\n<p>The completely different examples of natural language processing in on a regular basis lives of individuals additionally include smart digital assistants. You can discover that good assistants such as Google Assistant, Siri, and Alexa have gained formidable improvements in recognition. The voice assistants are one of the best NLP examples, which work through speech-to-text conversion and intent classification for classifying inputs as action or query. Smart digital assistants might additionally observe and remember important consumer info, corresponding to daily activities. But deep learning is a extra flexible, intuitive strategy in which algorithms learn to identify audio system&#8217; intent from many examples &#8212; nearly like how a baby would be taught human language. The define of pure language processing examples must emphasize the potential of utilizing NLP for producing personalized suggestions for e-commerce.<\/p>\n<p>This is a NLP follow that many corporations, including giant telecommunications suppliers have put to make use of. NLP additionally permits computer-generated language close to the voice of a human. Phone calls to schedule appointments like an oil change or haircut can be automated, as evidenced by this video displaying Google Assistant making a hair appointment. Things like autocorrect, autocomplete, and predictive text are so commonplace on our smartphones that we take them for granted. Autocomplete and predictive text are similar to search engines like google in that they predict issues to say based mostly on what you type, ending the word or suggesting a relevant one.<\/p>\n<p>Email service suppliers have evolved far beyond simple spam classification, nonetheless. Gmail, for instance, uses NLP to create \u201csmart replies\u201d that can be utilized to automatically generate a response. Every Internet user has acquired a buyer feedback survey at one level or another.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>They are successfully educated by their proprietor and, like other functions of NLP, study from experience to find a way to provide better, extra tailor-made assistance. Its primary aim is to simplify the process of going through huge quantities of information, such as scientific papers, news content material, or legal documentation. You could pull out the information you need and&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[34],"tags":[],"class_list":["post-1121","post","type-post","status-publish","format-standard","hentry","category-software-development-3"],"_links":{"self":[{"href":"https:\/\/mbscv.co.id\/index.php\/wp-json\/wp\/v2\/posts\/1121","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mbscv.co.id\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mbscv.co.id\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mbscv.co.id\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mbscv.co.id\/index.php\/wp-json\/wp\/v2\/comments?post=1121"}],"version-history":[{"count":1,"href":"https:\/\/mbscv.co.id\/index.php\/wp-json\/wp\/v2\/posts\/1121\/revisions"}],"predecessor-version":[{"id":1122,"href":"https:\/\/mbscv.co.id\/index.php\/wp-json\/wp\/v2\/posts\/1121\/revisions\/1122"}],"wp:attachment":[{"href":"https:\/\/mbscv.co.id\/index.php\/wp-json\/wp\/v2\/media?parent=1121"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mbscv.co.id\/index.php\/wp-json\/wp\/v2\/categories?post=1121"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mbscv.co.id\/index.php\/wp-json\/wp\/v2\/tags?post=1121"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}