Text Analytics with Python - 2nd Edition by Dipanjan Sarkar (Paperback)

This book is a comprehensive guide to leveraging Natural Language Processing (NLP) in Python, providing you with the tools and techniques to set up your own robust environment for text analytics.

With updated code base, modules, and chapters to the latest Python 3.x release, this second edition includes new topics and significant changes based on recent trends in NLP.

You'll learn how to use state-of-the-art frameworks, machine learning, and deep learning models to perform supervised sentiment analysis and solve real-world case studies.

The book covers text cleaning and feature engineering, text classification and clustering, summarization and topic models, as well as semantic analysis with a focus on building your own named entity recognition system from scratch.

By the end of this book, you'll have a solid understanding of NLP and text syntax, semantics, and structure, and be able to apply these skills to real-world projects.