E-Book, Englisch, 304 Seiten
Perkins Python 3 Text Processing with NLTK 3 Cookbook
1. Auflage 2014
ISBN: 978-1-78216-786-0
Verlag: Packt Publishing
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 304 Seiten
ISBN: 978-1-78216-786-0
Verlag: Packt Publishing
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
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.This cookbook provides simple, straightforward examples so you can quickly learn text processing with Python and NLTK.
