Blueprints for Text Analytics Using Python

Blueprints for Text Analytics Using Python

AngličtinaEbook
Albrecht, Jens
O'Reilly Media
EAN: 9781492074052
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Podrobné informace

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.Extract data from APIs and web pagesPrepare textual data for statistical analysis and machine learningUse machine learning for classification, topic modeling, and summarizationExplain AI models and classification resultsExplore and visualize semantic similarities with word embeddingsIdentify customer sentiment in product reviewsCreate a knowledge graph based on named entities and their relations
EAN 9781492074052
ISBN 1492074055
Typ produktu Ebook
Vydavatel O'Reilly Media
Datum vydání 4. prosince 2020
Stránky 424
Jazyk English
Země Uruguay
Autoři Albrecht, Jens; Ramachandran, Sidharth; Winkler, Christian
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