ENGLISH

Python 3 Text Processing with NLTK 3 Cookbook: Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0

By Jacob Perkins

Book information

Publisher
Packt Publishing
Year
2014
ISBN
978-1-78216-785-3
Language
english
Format
PDF
Filesize
2 MB (1969647 bytes)
Pages
304\304
Time added
2016-06-29 18:00:00

Description

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.

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