English | 2024 | ISBN: 978-0443220098 | 294 Pages | EPUB | 11 MB
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
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