{"id":14092,"date":"2023-08-14T16:40:41","date_gmt":"2023-08-14T14:40:41","guid":{"rendered":"https:\/\/www.cdj-bouffort.com\/?p=14092"},"modified":"2023-09-23T07:17:21","modified_gmt":"2023-09-23T05:17:21","slug":"natural-language-processing-consulting-and","status":"publish","type":"post","link":"https:\/\/www.cdj-bouffort.com\/index.php\/2023\/08\/14\/natural-language-processing-consulting-and\/","title":{"rendered":"Natural Language Processing Consulting and Implementation"},"content":{"rendered":"

The role of natural language processing in AI University of York<\/h1>\n<\/p>\n

\"nlp<\/p>\n

However, new words and definitions of existing words are also constantly being added to the English lexicon. We rely on computers to communicate and work with each other, especially during the ongoing pandemic. To that end, computers must be able to interpret and generate responses accurately.<\/p>\n<\/p>\n

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What does NLP mean for augmented analytics? – TechTarget<\/h3>\n

What does NLP mean for augmented analytics?.<\/p>\n

Posted: Tue, 04 May 2021 07:00:00 GMT [source<\/a>]<\/p>\n<\/div>\n

In truth, the list of examples goes on and on, with NLP being used to answer questions, extract and retrieve information and even analyse sentiment. As a result, we\u2019ve seen increased deployment of NLP in much wider business settings, including the contact centre, where it has been revolutionary. LeadDesk nlp vs nlu<\/a> Chatbots are powered by a custom AI that uses NLP and NLU to understand your customer\u2019s intent. Boost agent efficiency and create seamless customer interactions with AI and automation. Speak Magic Prompts leverage innovation in artificial intelligence models often referred to as \u201cgenerative AI\u201d.<\/p>\n<\/p>\n

Human Level on social media<\/h2>\n<\/p>\n

Thus, you can train chatbots to differentiate between FAQs and important questions, and then direct the latter to a customer service representative on standby. A well-trained chatbot can provide standardized responses to frequently asked questions, thereby saving time and labor costs \u2013 but not completely eliminating the need for customer service representatives. These tasks differ from organization https:\/\/www.metadialog.com\/<\/a> to organization and are heavily dependent on your NLP needs and goals. You can think of an NLP model conducting pragmatic analysis as a computer trying to perceive conversations as a human would. When you interpret a message, you\u2019ll be aware that words aren\u2019t the sole determiner of a sentence\u2019s meaning. Pragmatic analysis is essentially a machine\u2019s attempt to replicate that thought process.<\/p>\n<\/p>\n

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Natural Language Processing: The Societal Impacts – INDIAai<\/h3>\n

Natural Language Processing: The Societal Impacts.<\/p>\n

Posted: Mon, 03 Oct 2022 07:00:00 GMT [source<\/a>]<\/p>\n<\/div>\n

Conversational AI describes technologies such as chatbots and virtual agents that are able to interact with users in natural language based on Natural Language Processing and Machine Learning. Natural language processing is the rapidly advancing field of teaching computers to process human language, allowing them to think and provide responses like humans. NLP has led to groundbreaking innovations across many industries from healthcare to marketing. Google incorporates natural language processing into its algorithms to provide the most relevant results on Google SERPs.<\/p>\n<\/p>\n

Voice commerce: concrete applications as a source of high added value<\/h2>\n<\/p>\n

This allows us to understand the relationship between words and is a nice compliment to named entity recognition. Unlike most NLP applications, we have a limited amount of context available to us in the search query. Trying to identify too many attributes that are grammatically similar will reduce the overall model performance. Natural Language Processing Fundamentals is designed for novice and mid-level data scientists and machine learning developers who want to gather and analyze text data to build an NLP-powered product. It’ll help you to have prior experience of coding in Python using data types, writing functions, and importing libraries.<\/p>\n<\/p>\n

This means that multiple variations of the same query can be asked and an identical answer is delivered seamlessly. Even if a question is not immediately obvious, conversational chatbots use decision tree technology to ask a series of questions until a resolution is found. I hope this article can be of inspiration to marketers and researchers that are interested in applying hybrid intelligence, machine learning and human understanding to consumer insights. After reading this, you should feel more confident in talking about these topics and forming your own opinion, beyond buzzwords. Rasa NLU is primarily used to build chatbots and voice apps, where this is called intent classification and entity extraction. That is, a set of messages which you’ve already labelled with their intents and entities.<\/p>\n<\/p>\n

This vantage point gives these experts a unique ability to review chatbot input and coach the bot to grow its knowledge of human communication. Unfortunately, many shoppers may have only had subpar experiences with rules-based bots and may assume that engaging with a bot isn’t a good use of their time. Forrester also found that two-thirds of consumers don’t believe that chatbots can provide the same quality of experience as a human service agent. Providing top-notch customer service isn’t always easy–especially in today’s digital world. As consumer thirst for convenience and speed has grown, many brands have turned to chatbots. Simplistic rules-based bots are everywhere, and they have some value for handling routine queries.<\/p>\n<\/p>\n

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The role of natural language processing in AI University of York However, new words and definitions of existing words are also constantly being added to the English lexicon. We rely on computers to communicate and work with each other, especially during the ongoing pandemic. To that end, computers must be able to interpret and generate … Continue reading Natural Language Processing Consulting and Implementation<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[93],"tags":[],"yoast_head":"\nNatural Language Processing Consulting and Implementation - SCP B\u00e9reng\u00e8re BOUFFORT<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.cdj-bouffort.com\/index.php\/2023\/08\/14\/natural-language-processing-consulting-and\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Natural Language Processing Consulting and Implementation - SCP B\u00e9reng\u00e8re BOUFFORT\" \/>\n<meta property=\"og:description\" content=\"The role of natural language processing in AI University of York However, new words and definitions of existing words are also constantly being added to the English lexicon. 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To that end, computers must be able to interpret and generate … Continue reading Natural Language Processing Consulting and Implementation\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.cdj-bouffort.com\/index.php\/2023\/08\/14\/natural-language-processing-consulting-and\/\" \/>\n<meta property=\"og:site_name\" content=\"SCP B\u00e9reng\u00e8re BOUFFORT\" \/>\n<meta property=\"article:published_time\" content=\"2023-08-14T14:40:41+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-09-23T05:17:21+00:00\" \/>\n<meta property=\"og:image\" content=\"\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Deleglise45\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" 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\",\"contentUrl\":\"data:image\/jpeg;base64,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We rely on computers to communicate and work with each other, especially during the ongoing pandemic. 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\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