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Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks

Python Natural Language Processing Cookbook

<span xml:lang="en">Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks</span>

Antić, Zhenya

Get to grips with solving real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data visualizationKey FeaturesAnalyze varying complexities of text using popular Python packages such as NLTK, spaCy, sklearn, and gensimImplement common and not-so-common linguistic processing tasks using Python librariesOvercome the common challenges faced while implementing NLP pipelinesBook DescriptionPython is the most widely used language for natural language processing (NLP) thanks to its extensive tools and libraries for analyzing text and extracting...

Get to grips with solving real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data...

Format

Python Natural Language Processing Cookbook

Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks

Zhenya Antić

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