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Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks - Softcover
Synopsis
Get to grips with solving real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data visualization
Key Features
- Analyze varying complexities of text using popular Python packages such as NLTK, spaCy, sklearn, and gensim
- Implement common and not-so-common linguistic processing tasks using Python libraries
- Overcome the common challenges faced while implementing NLP pipelines
Book Description
Python is the most widely used language for natural language processing (NLP) thanks to its extensive...
About the Author
Zhenya Antić is a Natural Language Processing (NLP) professional working at Practical Linguistics Inc. She helps businesses to improve processes and increase productivity by automating text processing. Zhenya holds a PhD in linguistics from University of California Berkeley and a BS in computer science from Massachusetts Institute of Technology.
"About this title" may belong to another edition of this title.
- PublisherPackt Publishing
- Publication date2021
- ISBN 10 1838987312
- ISBN 13 9781838987312
- BindingPaperback
- LanguageEnglish
- Number of pages284
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Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks
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ISBN 10: 1838987312
ISBN 13: 9781838987312
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