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Artificial Intelligence Techniques in Text and Sentiment Analysis

Artificial Intelligence Techniques in Text and Sentiment Analysis

Muralidhara Rao Patruni, Anupama Angadi, Satya Keerthi Gorripati, Pedada Saraswathi
Copyright: © 2023 |Pages: 21
ISBN13: 9781668462423|ISBN10: 1668462427|ISBN13 Softcover: 9781668462430|EISBN13: 9781668462447
DOI: 10.4018/978-1-6684-6242-3.ch009
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MLA

Patruni, Muralidhara Rao, et al. "Artificial Intelligence Techniques in Text and Sentiment Analysis." Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media, edited by Pantea Keikhosrokiani and Moussa Pourya Asl, IGI Global, 2023, pp. 171-191. https://doi.org/10.4018/978-1-6684-6242-3.ch009

APA

Patruni, M. R., Angadi, A., Gorripati, S. K., & Saraswathi, P. (2023). Artificial Intelligence Techniques in Text and Sentiment Analysis. In P. Keikhosrokiani & M. Pourya Asl (Eds.), Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media (pp. 171-191). IGI Global. https://doi.org/10.4018/978-1-6684-6242-3.ch009

Chicago

Patruni, Muralidhara Rao, et al. "Artificial Intelligence Techniques in Text and Sentiment Analysis." In Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media, edited by Pantea Keikhosrokiani and Moussa Pourya Asl, 171-191. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-6242-3.ch009

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Abstract

Of late, text and sentiment analysis have become essential parts of modern marketing. These play a vital role in the division of natural language processing (NLP). It mainly focuses on text classification to examine the intention of the processed text; it can be of positive or negative types. Sentiment analysis dealt with the computational treatment of sentiments, opinions, and subjectivity of text. This chapter tackles a comprehensive approach for the past research solutions that includes various algorithms, enhancements, and applications. This chapter primarily focuses on three aspects. Firstly, the authors present a systematic review of recent works done in the area of text and sentiment analysis; second, they emphasize major concepts, components, functionalities, and classification techniques of text and sentiment analysis. Finally, they provide a comparative study of text and sentiment analysis on the basis of trending research approaches. They conclude the chapter with future directions.

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