000 03058cam a2200301zu 4500
001 88901552
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006 m o d
007 cr un
008 250108s2020 fr | o|||||0|0|||eng d
020 _a9781800208421
035 _aFRCYB88901552
040 _aFR-PaCSA
_ben
_c
_erda
100 1 _aChopra, Rohan
245 0 1 _aThe Natural Language Processing Workshop
_c['Chopra, Rohan', 'Godbole, Aniruddha M.', 'Sadvilkar, Nipun']
264 1 _bPackt Publishing
_c2020
300 _a p.
336 _btxt
_2rdacontent
337 _bc
_2rdamdedia
338 _bc
_2rdacarrier
650 0 _a
700 0 _aChopra, Rohan
700 0 _aGodbole, Aniruddha M.
700 0 _aSadvilkar, Nipun
856 4 0 _2Cyberlibris
_uhttps://international.scholarvox.com/netsen/book/88901552
_qtext/html
_a
520 _aMake NLP easy by building chatbots and models, and executing various NLP tasks to gain data-driven insights from raw text dataKey FeaturesGet familiar with key natural language processing (NLP) concepts and terminologyExplore the functionalities and features of popular NLP toolsLearn how to use Python programming and third-party libraries to perform NLP tasksBook DescriptionDo you want to learn how to communicate with computer systems using Natural Language Processing (NLP) techniques, or make a machine understand human sentiments? Do you want to build applications like Siri, Alexa, or chatbots, even if you've never done it before?With The Natural Language Processing Workshop, you can expect to make consistent progress as a beginner, and get up to speed in an interactive way, with the help of hands-on activities and fun exercises.The book starts with an introduction to NLP. You'll study different approaches to NLP tasks, and perform exercises in Python to understand the process of preparing datasets for NLP models. Next, you'll use advanced NLP algorithms and visualization techniques to collect datasets from open websites, and to summarize and generate random text from a document. In the final chapters, you'll use NLP to create a chatbot that detects positive or negative sentiment in text documents such as movie reviews.By the end of this book, you'll be equipped with the essential NLP tools and techniques you need to solve common business problems that involve processing text.What you will learnObtain, verify, clean and transform text data into a correct format for useUse methods such as tokenization and stemming for text extractionDevelop a classifier to classify comments in Wikipedia articlesCollect data from open websites with the help of web scrapingTrain a model to detect topics in a set of documents using topic modelingDiscover techniques to represent text as word and document vectorsWho this book is forThis book is for beginner to mid-level data scientists, machine learning developers, and NLP enthusiasts. A basic understanding of machine learning and NLP is required to help you grasp the topics in this workshop more quickly.
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