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Python 3 Text Processing with NLTK 3 Cookbook Sented by Shon

Download Python 3 Text Processing with NLTK 3 Cookbook free book as pdf format

Python 3 Text Processing with NLTK 3 Cookbook

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.

Book year:

Book pages: 304

ISBN: 978-1-78216-785-3

Book language: en

File size: 1.86 MB

File type: pdf

Published: 20 May 2019 - 15:16