Text Analytics with Python: A Practitioner's Guide to Natural Language Processing

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

With the latest state-of-the-art frameworks and machine learning models, you'll learn how to perform supervised sentiment analysis on actual case studies, as well as build, tune, and interpret topic models in the context of an interest dataset.

Additionally, you'll discover text similarity techniques and how to build your own named entity recognition (NER) system from scratch.

Whether you're a beginner or advanced NLP practitioner, this book will provide you with the tools and knowledge necessary to succeed in the field.

So why wait? Get started today and unlock the secrets of NLP in Python!