Blueprints for Text Analytics Using Python Book Reviews

AUTHOR
Jens Albrecht, Sidharth Ramachandran & Christian Winkler
SCORE
0
TOTAL RATINGS
170

Blueprints for Text Analytics Using Python by Jens Albrecht, Sidharth Ramachandran & Christian Winkler Book 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.
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

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Book Name Blueprints for Text Analytics Using Python
Genre Computers & Internet
Published
Language English
E-Book Size 20.02 MB

Blueprints for Text Analytics Using Python (Jens Albrecht, Sidharth Ramachandran & Christian Winkler) Book Reviews 2024

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Summary of Blueprints for Text Analytics Using Python by Jens Albrecht, Sidharth Ramachandran & Christian Winkler

The Blueprints for Text Analytics Using Python book written by Jens Albrecht, Sidharth Ramachandran & Christian Winkler was published on 04 December 2020, Friday in the Computers & Internet category. A total of 170 readers of the book gave the book 0 points out of 5.

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