Blueprints for Text Analytics using Python
Turning text into valuable information is essential for many businesses looking to gain a competitive advantage. However, it's not always clear which NLP tools or libraries would work for a business use--or which techniques you should use and in what order.This practical boo… Celý popis ↓
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Blueprints for Text Analytics using Python
Turning text into valuable information is essential for many businesses looking to gain a competitive advantage. However, it's not always clear which NLP tools or libraries would work for a business use--or which techniques you should use and in what order.This practical book provides theoretical background and real-world case studies with detailed code examples to help developers and data scientists obtain insight from text online. There have been many improvements in natural language processing and users have a lot of options when choosing to work on a problem.
Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler use blueprints for text-related problems that apply state-of-the-art machine learning methods in Python.If you have a fundamental understanding of statistics and machine learning along with basic programming experience in Python, you're ready
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