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Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications by D. Jude Hemanth B.E. M.E. Ph.D is a nonfiction available to read on EtoBox.

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Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications, (2024) 296pp. 978-0-443-22009-8Social media analytics has become important in today’s scenario with the rise in Internet technology. The impact of social media on day-to-day life is enormous with applications ranging from new connections formation to restaurant selection. Sentiment analysis is one of the application areas where a complete opinion on a specific entity is generated by artificial intelligence (AI) techniques. Sentiments which can be termed “opinions” may be positive or negative or neutral. The opinions are normally given in the form of text data which are a part of natural language processing (NLP). The opinions registered by the users on a specific subject is collectively analyzed to provide a final comment on the subject. Analyzing these data is a tedious task that can be solved by machine learning (ML) techniques. Hence, the combination of sentiments and ML techniques is extremely important to derive any information from the huge social media data. In this book, different types of ML and deep learning methods are explored in the context of different dimensions of

Who reads Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications?

Author

D. Jude Hemanth B.E. M.E. Ph.D

Publisher

Elsevier Science & Technology

Published

2024

Language

EN

ISBN

9780443220098

Category

nonfiction

Subjects

Computer Science, Mathematics, Artificial Intelligence (Ai)