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

• Main Author: Sarkar, Dipanjan (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Edition: 2nd ed. 2019.
• Subjects: Artificial intelligence.; Python (Computer program language).; Big data.; Artificial Intelligence.; Python.; Big Data.

Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. The second edition of this book will show you how to use the latest state-of-the-art frameworks in NLP, coupled with Machine Learning and Deep Learning to solve rea...

Table of Contents:

• Chapter 1: Natural Language Processing Basics
• Chapter 2: Python for Natural Language Processing
• Chapter 3: Processing and Understanding Text
• Chapter 4: Feature Engineering for Text Data
• Chapter 5: Text Classification
• Chapter 6: Text summarization and topic modeling
• Chapter 7: Text Clustering and Similarity analysis
• Chapter 8: Sentiment Analysis
• Chapter 9: Deep learning in NLP.