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Blueprints for text analytics using python: machine learning-based solutions for...

799 грн

Описание

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 pages

Prepare textual data for statistical analysis and machine learning

Use machine learning for classification, topic modeling, and summarization

Explain AI models and classification results

Explore and visualize semantic similarities with word embeddings

Identify customer sentiment in product reviews

Create a knowledge graph based on named entities and their relations

Також купити книгу Blueprints for Text Analytics Using Python: Machine
Learning-Based Solutions for Common Real World (NLP) Applications, Jens
Albrecht, Sidharth Ramachandran, Christian Winkler, more Ви можете по
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