- 305 pages
- Format Kindle
↟ read a Python 3 Text Processing with NLTK 3 Cookbook (English Edition) eBook: Jacob Perkins: Amazon.fr: Amazon Media EU S.à r.l. effectively ⣋ Kindle By Jacob Perkins ⥓ Over 80 practical recipes on natural language processing techniques using Python s NLTK 3.0
About This Book
Break 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 recipes
Who This Book Is For
This book is intended for Python programmers interested in learning how to do natural language processing Maybe you ve learned the limits of regular expressions the hard way, or you ve realized that human language cannot be deterministically parsed like a computer language Perhaps you have text than you know what to do with, and need automated ways to analyze and structure that text This Cookbook will show you how to train and use statistical language models to process text in ways that are practically impossible with standard programming tools A basic knowledge of Python and the basic text processing concepts is expected Some experience with regular expressions will also be helpful.
What You Will Learn
Tokenize 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
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.Jacob Perkins Jacob 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 Python Text Processing with NLTK 2.0 Cookbook, Packt Publishing, and has contributed a chapter to the Bad Data Handbook, O Reilly Media He writes about NLTK, Python, and other technology topics at To demonstrate the capabilities of NLTK and natural language processing, he developed which provides simple demos and NLP APIs for commercial use He has contributed to various open source projects, including NLTK, and created NLTK Trainer to simplify the process of training NLTK models For information, visit Text Processing Services Python rc Text The modules described in this chapter provide a wide range of string manipulation operations and other text processing services Welcome to Python official home the Programming Language Python with NLTK Cookbook Cookbook Jacob Perkins on FREE shipping qualifying offers Over practical recipes natural language Download Anaconda, IDE for Sublime Anaconda is an autocompletion, liniting, code analyzer SublimeText Learn Hard Way Buy Edition When you buy Learn Way, ll receive PDF, special access paid HTML version, hours 〨 The ◾ FINLANDE - Collection Petite planète n°26 ⎰ PDF by DESNEIGES Georges ␑
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