| Description |
1 online resource (xx, 399 pages) : illustrations |
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text file rda |
| Summary |
"Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always clear which NLP tools or libraries would work for a business's needs, or which techniques you should use and in what order. This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly."-- Provided by publisher. |
| Bibliography |
Includes bibliographical references and index. |
| Subject |
Natural language processing (Computer science)
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Python (Computer program language)
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Machine learning.
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Natural Language Processing |
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Machine Learning |
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Traitement automatique des langues naturelles. |
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Python (Langage de programmation) |
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Apprentissage automatique. |
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Machine learning |
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Natural language processing (Computer science) |
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Python (Computer program language) |
| Added Author |
Ramachandran, Sidharth, author.
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Winkler, Christian, author.
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| Other Form: |
Print version: Albrecht, Jens. Blueprints for text analysis using Python. First edition. Sebastopol, CA : O'Reilly Media, Inc., 2020 9781492074083 (DLC) 2022276251 (OCoLC)1156041908 |
| ISBN |
9781492074052 (electronic bk.) |
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1492074055 (electronic bk.) |
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9781492074038 (electronic bk.) |
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1492074039 (electronic bk.) |
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