Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications


Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications
Author: D. Jude Hemanth B.E. M.E. Ph.D (Editor)
Publisher finelybook 出版社: Morgan Kaufmann
Edition 版次: 1st
Publication Date 出版日期: 2024-02-02
Language 语言: English
Print Length 页数: 294 pages
ISBN-10: 0443220093
ISBN-13: 9780443220098


Book Description
By finelybook

Computational Intelligence for Sentiment Analysis in Natural Language Processing Applications provides a solution to this problem through detailed technical coverage of AI-based Sentiment Analysis methods for various applications. The book’s authors provide readers with an in-depth look at the challenges and associated solutions, including case studies and real-world scenarios from across the globe. Development of scientific and enterprise applications are covered that will aid computer scientists in building practical/real-world AI-based Sentiment Analysis systems. With the vast increase in Big Data, computational intelligence approaches have become a necessity for Natural Language Processing and Sentiment Analysis in a wide range of decision-making application areas.

  • Includes basic concepts, technical explanations, and case studies for in-depth explanation of the Sentiment Analysis
  • Aids computer scientists in developing practical/real-world AI-based Sentiment Analysis systems
  • Provides readers with real-world development applications of AI-based Sentiment Analysis, including transfer learning for opinion mining from pandemic medical data, sarcasm detection using neural networks in human-computer interaction, and emotion detection using the random-forest algorithm

Review

The most comprehensive, technical guide to developing AI-based Sentiment Analysis systems with NLP and computational intelligence methods

From the Back Cover

Sentiment Analysis has become increasingly important in recent years for nearly all online applications. Sentiment Analysis depends heavily on Artificial Intelligence (AI) technology wherein computational intelligence approaches aid in deriving the opinions/emotions of human beings. With the vast increase in Big Data, computational intelligence approaches have become a necessity for Natural Language Processing and Sentiment Analysis in a wide range of decision-making application areas. The applications of Sentiment Analysis are enormous, ranging from business to biomedical and clinical applications. However, the combination of AI methods and Sentiment Analysis is one of the rarest commodities in the literature. The literatures either gives more importance to the application alone or to the AI/CI methodology.Computational Intelligence for Sentiment Analysis in Natural Language Processing Applications provides a solution to this problem through detailed technical coverage of AI-based Sentiment Analysis methods for various applications. The authors provide readers with an in-depth look at the challenges and solutions associated with the different types of Sentiment Analysis, including case studies and real-world scenarios from across the globe. Development of scientific and enterprise applications are covered, which will aid computer scientists in building practical/real-world AI-based Sentiment Analysis systems.

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