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Published by Packt Publishing 2011-04-15, 2011
ISBN 10: 1849516383 ISBN 13: 9781849516389
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Published by Packt Publishing, Limited, 2014
ISBN 10: 1782167854 ISBN 13: 9781782167853
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Published by Packt Publishing, Limited, 2014
ISBN 10: 1782167854 ISBN 13: 9781782167853
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ISBN 10: 1782167854 ISBN 13: 9781782167853
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The learn-by-doing approach of this book will enable you to dive right into the heart of text processing from the very first page. Each recipe is carefully designed to fulfill your appetite for Natural Language Processing. Packed with numerous illustrative examples and code samples, it will make the task of using the NLTK for Natural Language Processing easy and straightforward. This book is for Python programmers who want to quickly get to grips with using the NLTK for Natural Language Processing. Familiarity with basic text processing concepts is required. Programmers experienced in the NLTK will also find it useful. Students of linguistics will find it invaluable.
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorrnrnJacob Perkins is the cofounder and CTO of Weotta, a local search company. Weotta uses NLP and machine learning to create powerful and easy-to-use natural language search for what to do and where to go. He is the author of .
Taschenbuch. Condition: Neu. Python 3 Text Processing with NLTK 3 Cookbook | Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0 | Jacob Perkins | Taschenbuch | Kartoniert / Broschiert | Englisch | 2014 | Packt Publishing | EAN 9781782167853 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0About This BookBreak text down into its component parts for spelling correction, feature extraction, and phrase transformationLearn how to do custom sentiment analysis and named entity recognitionWork through the natural language processing concepts with simple and easy-to-follow programming recipesIn DetailThis book will show you the essential techniques of text and language processing. Starting with tokenization, stemming, and the WordNet dictionary, you'll progress to part-of-speech tagging, phrase chunking, and named entity recognition. You'll learn how various text corpora are organized, as well as how to create your own custom corpus. Then, you'll move onto text classification with a focus on sentiment analysis. And because NLP can be computationally expensive on large bodies of text, you'll try a few methods for distributed text processing. Finally, you'll be introduced to a number of other small but complementary Python libraries for text analysis, cleaning, and parsing.This cookbook provides simple, straightforward examples so you can quickly learn text processing with Python and NLTK.What You Will LearnTokenize text into sentences, and sentences into wordsLook up words in the WordNet dictionaryApply spelling correction and word replacementAccess the built-in text corpora and create your own custom corpusTag words with parts of speechChunk phrases and recognize named entitiesGrammatically transform phrases and chunksClassify text and perform sentiment analysis.