Deep Natural Language Processing and Ai Applications for Industry 5.0 (Advances in Computational Intelligence and Robotics)

✍ Scribed by Poonam Tanwar (editor), Arti Saxena (editor), C. Priya (editor)

• Publisher: Engineering Science Reference
• Year: 2021
• Tongue: English
• Leaves: 258
• Category: Library

✦ Synopsis

"This book is a collection of contributed chapters of latest research findings, ideas, and applications in the fields of Natural Language Processing and their applications, Computational Linguistics, Deep NLP, Web Analysis, Sentiments analysis for business and industry"--

✦ Table of Contents

Cover
Title Page
Copyright Page
Book Series
Table of Contents
Detailed Table of Contents
Preface
Chapter 1: Recent Trends in Deepfake Detection
Chapter 2: Text Mining Using Twitter Data
Chapter 3: Analysis Report for Statistics in the Twitter Network
Chapter 4: Chemical Named Entity Recognition Using Deep Learning Techniques
Chapter 5: Mathematical Information Retrieval Trends and Techniques
Chapter 6: Language Processing and Python
Chapter 7: Creditworthiness Assessment Using Natural Language Processing
Chapter 8: NLP for Chatbot Application
Chapter 9: Significance of Natural Language Processing in Data Analysis Using Business Intelligence
Chapter 10: Deep NLP in the Healthcare Industry
Chapter 11: Information Retrieval in Business Industry Using Blockchain Technology and Artificial Intelligence
Compilation of References
About the Contributors
Index