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Proceedings of the 2024 Ninth International Conference on Research in Intelligent Computing in Engineering

Annals of Computer Science and Information Systems, Volume 42

A Survey on Sentiment Analysis in Tamil: Critical Analysis

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DOI: http://dx.doi.org/10.15439/2024R28

Citation: Proceedings of the 2024 Ninth International Conference on Research in Intelligent Computing in Engineering, Vijender Kumar Solanki, Tran Duc Tan, Pradeep Kumar, Manuel Cardona (eds). ACSIS, Vol. 42, pages 49–62 ()

Full text

Abstract. The review paper delves into the methodologies, techniques, and challenges specific to sentiment analysis and opinion extraction within the Tamil language. As the digital landscape continues to expand, the ability to comprehend sentiments and opinions expressed in Tamil across diverse online platforms has grown increasingly vital. The paper traces the evolution of sentiment analysis techniques tailored for Tamil, covering essential components such as feature extraction, lexicon creation, and the applications of various algorithms. Special attention is given to the distinct details of the Tamil language, encompassing its linguistic complexities, codeswitching, and the expression of sentiment in informal contexts. A critical analysis has been conducted to compare different models. Moreover, the review explores strategies for opinion extraction and provides insightful suggestions for potential areas for future research and development.

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