Skip to Content
Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications
book

Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications

by D. Jude Hemanth
January 2024
Beginner
254 pages
9h 7m
English
Morgan Kaufmann
Content preview from Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications
9

Deep learning for double-negative detection in text data for customer feedback analysis on a product

Deepika Ghai1, Ramandeep Sandhu2, Ranjit Kaur3, Mohammad Faiz2, Gurleen Kaur Walia1 and Suman Lata Tripathi1,    1School of Electronics & Electrical Engineering, Lovely Professional University, Phagwara, Punjab, India,    2School of Computer Science & Engineering, Lovely Professional University, Phagwara, Punjab, India,    3School of Computer Applications, Lovely Professional University, Phagwara, Punjab, India

Abstract

Giving feedback on a product has become the trend of the hour in today’s society. People believe in reading reviews and putting their evaluations. If the comments provided by a customer are single words with valid semantics, then ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Getting Started with Natural Language Processing

Getting Started with Natural Language Processing

Ekaterina Kochmar
Sentiment Analysis in Social Networks

Sentiment Analysis in Social Networks

Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu

Publisher Resources

ISBN: 9780443220104