{"product_id":"getting-started-with-natural-language-processing","title":"Getting Started with Natural Language Processing","description":"\u003cp\u003e\u003cb\u003eHit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak human.\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eGetting Started with Natural Language Processing\u003c\/i\u003e you’ll learn about:\u003c\/p\u003e\u003cp\u003e    Fundamental concepts and algorithms of NLP\u003cbr\u003e    Useful Python libraries for NLP\u003cbr\u003e    Building a search algorithm\u003cbr\u003e    Extracting information from raw text\u003cbr\u003e    Predicting sentiment of an input text\u003cbr\u003e    Author profiling\u003cbr\u003e    Topic labeling\u003cbr\u003e    Named entity recognition\u003c\/p\u003e\u003cp\u003e\u003ci\u003eGetting Started with Natural Language Processing\u003c\/i\u003e is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. If you’re a beginner to NLP and want to upgrade your applications with functions and features like information extraction, user profiling, and automatic topic labeling, this is the book for you.\u003c\/p\u003e\u003cp\u003eAbout the technology\u003cbr\u003eFrom smart speakers to customer service chatbots, apps that understand text and speech are everywhere. Natural language processing, or NLP, is the key to this powerful form of human\/computer interaction. And a new generation of tools and techniques make it easier than ever to get started with NLP!\u003c\/p\u003e\u003cp\u003eAbout the book\u003cbr\u003e\u003ci\u003eGetting Started with Natural Language Processing\u003c\/i\u003e teaches you how to upgrade user-facing applications with text and speech-based features. From the accessible explanations and hands-on examples in this book you’ll learn how to apply NLP to sentiment analysis, user profiling, and much more. As you go, each new project builds on what you’ve previously learned, introducing new concepts and skills. Handy diagrams and intuitive Python code samples make it easy to get started—even if you have no background in machine learning!\u003c\/p\u003e\u003cp\u003eWhat's inside\u003c\/p\u003e\u003cp\u003e    Fundamental concepts and algorithms of NLP\u003cbr\u003e    Extracting information from raw text\u003cbr\u003e    Useful Python libraries\u003cbr\u003e    Topic labeling\u003cbr\u003e    Building a search algorithm\u003c\/p\u003e\u003cp\u003eAbout the reader\u003cbr\u003eYou’ll need basic Python skills. No experience with NLP required.\u003c\/p\u003e\u003cp\u003eAbout the author\u003cbr\u003e\u003cb\u003eEkaterina Kochmar\u003c\/b\u003e is a lecturer at the Department of Computer Science of the University of Bath, where she is part of the AI research group.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003cbr\u003e1 Introduction\u003cbr\u003e2 Your first NLP example\u003cbr\u003e3 Introduction to information search\u003cbr\u003e4 Information extraction\u003cbr\u003e5 Author profiling as a machine-learning task\u003cbr\u003e6 Linguistic feature engineering for author profiling\u003cbr\u003e7 Your first sentiment analyzer using sentiment lexicons\u003cbr\u003e8 Sentiment analysis with a data-driven approach\u003cbr\u003e9 Topic analysis\u003cbr\u003e10 Topic modeling\u003cbr\u003e11 Named-entity recognition\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eAbout the Author\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eEkaterina Kochmar\u003c\/b\u003e is an Affiliated Lecturer and a Senior Research Associate at the Natural Language and Information Processing group of the Department of Computer Science and Technology, University of Cambridge. She holds an MA degree in Computational Linguistics, an MPhil in Advanced Computer Science, and a PhD in Natural Language Processing. --This text refers to the \u003ca href=\"https:\/\/www.amazon.in\/dp\/1617296767?ie=UTF8\u0026amp;n=1571277031\" class=\"a-link-normal\"\u003epaperback\u003c\/a\u003e edition.\u003cbr\u003e\u003c\/p\u003e","brand":"Manning Publications","offers":[{"title":"Default Title","offer_id":50506278043718,"sku":"9781617296765","price":4038.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/41boCu-XllL.jpg?v=1790324991","url":"https:\/\/cb-india.com\/products\/getting-started-with-natural-language-processing","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}