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Empirical study of sentiment analysis tools and techniques on societal topics


A surge in public opinions mining against various societal topics using publicly available off-the-shelf sentiment analysis tools is evident in recent times. Since sentiment analysis is a domain-dependent problem, and the majority of the tools are built for customer reviews, the suitability of using such existing off-the-the-shelf tools for a societal topic is subject to investigation. None of the existing studies has thoroughly investigated on societal issues. This paper systematically evaluates the performance of 10 popularly used off-the-shelf tools and 17 state-of-the-art machine learning techniques and investigates their strengths and weaknesses using various societal and non-societal topics.

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This work is partially funded by the Ministry of Electronics & Information Technology, Government of India.

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Correspondence to Loitongbam Gyanendro Singh.

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Singh, L.G., Singh, S.R. Empirical study of sentiment analysis tools and techniques on societal topics. J Intell Inf Syst 56, 379–407 (2021).

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  • Sentiment analysis
  • Societal topics
  • Publicly available sentiment analysis tools
  • Machine learning techniques