Computational Intelligence Applications for Text and Sentiment Data Analysis Paperback / softback
Edited by Dipankar (Assistant Professor, Computer Science and Engineering Department, Jadavpur University Das, Anup Kumar (Assistant Professor, RCC Institute of Information Technology, Kolkata, India) Kolya, Abhishek (Assistant Professor and Faculty in Charge (Academics), RCC Institute of Information Basu, Soham (Assistant Professor, Department of Electronics and Communication Engineering, RCC Ins Sarkar
Part of the Hybrid Computational Intelligence for Pattern Analysis and Understanding series
Paperback / softback
Description
Computational Intelligence Applications for Text and Sentiment Data Analysis explores the most recent advances in text information processing and data analysis technologies, specifically focusing on sentiment analysis from multifaceted data.
The book investigates a wide range of challenges involved in the accurate analysis of online sentiments, including how to i) identify subjective information from text, i.e., exclusion of 'neutral' or 'factual' comments that do not carry sentiment information, ii) identify sentiment polarity, and iii) domain dependency.
Spam and fake news detection, short abbreviation, sarcasm, word negation, and a lot of word ambiguity are also explored. Further chapters look at the difficult process of extracting sentiment from different multimodal information (audio, video and text), semantic concepts.
In each chapter, the book's authors explore how computational intelligence (CI) techniques, such as deep learning, convolutional neural network, fuzzy and rough set, global optimizers, and hybrid machine learning techniques play an important role in solving the inherent problems of sentiment analysis applications.
Information
-
Only a few left - usually despatched within 24 hours
- Format:Paperback / softback
- Pages:270 pages
- Publisher:Elsevier Science & Technology
- Publication Date:20/07/2023
- Category:
- ISBN:9780323905350
Information
-
Only a few left - usually despatched within 24 hours
- Format:Paperback / softback
- Pages:270 pages
- Publisher:Elsevier Science & Technology
- Publication Date:20/07/2023
- Category:
- ISBN:9780323905350
