Python 3 Text Processing with NLTK 3 Cookbook

Python 3 Text Processing with NLTK 3 Cookbook | Packt Publishing

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Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0

This 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.

Details
Herausgeber Packt Publishing
Autor(en) Jacob Perkins
ISBN 978-1-78216-785-3
veröffentlicht 2014
Seiten 304
Sprache English

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