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

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المواصفات

الناشر	Packt Publishing
رقم الكتاب المعياري الدولي 10	1782167854
وصف الكتاب	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 In Detail 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. 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
اللغة	English
عدد الصفحات	304 pages

رقم الكتاب المعياري الدولي 13	9781782167853
عن المؤلف	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 http://streamhacker.com. To demonstrate the capabilities of NLTK and natural language processing, he developed http://text-processing.com, 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 more information, visit https://github.com/japerk/nltk-trainer.
الكاتب	Jacob Perkins
تاريخ النشر	26 August 2014

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

239.00