Analysis of Users' Comments on Political Portal for Extraction of Suggestions and Opinion Mining

Verma, Swati; Ramamurthy, Aparna

doi:10.1145/2979779.2979870

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…Verma and Ramamurthy [124] develop a framework with a series of algorithms to find suggestion, opinion, and sarcasm from political blogs using textual features. The authors use natural language processing libraries to find the part of speech (POS) from the comments to find if there are verbs or suggestive words in the comments.…”

Section: Political Discoursementioning

confidence: 99%

A Survey on Computational Politics

et al. 2020

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Computational Politics is the study of computational methods to analyze and moderate users' behaviors related to political activities such as election campaign persuasion, political affiliation, and opinion mining. With the rapid development and ease of access to the Internet, Information Communication Technologies (ICT) have given rise to massive numbers of users joining online communities and the digitization of political practices such as debates. These communities and digitized data contain both explicit and latent information about users and their behaviors related to politics and social movements. For researchers, it is essential to utilize data from these sources to develop and design systems that not only provide solutions to computational politics but also help other businesses, such as marketers, to increase users' participation and interactions. In this survey, we attempt to categorize main areas in computational politics and summarize the prominent studies in one place to better understand computational politics across different and multidimensional platforms. e.g., online social networks, online forums, and political debates. We then conclude this study by highlighting future research directions, opportunities, and challenges.

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Section: Political Discoursementioning

confidence: 99%