Classification of terms on a positive-negative feelings polarity scale based on emoticons

  • Mihailo Škoric University of Belgrade


The goal of this paper is to draw attention to the possibility of using emoticon-riddled text on the web in language-neutral sentiment analysis. It introduces several innovations in the existing framework of research and tests their effectiveness. It also presents a software tool especially made for that purpose, explains how it builds a database with sentimental value of terms and offers the user manual. Finally, it presents a software tool that tests the new database and gives some examples of the analysis of the obtained results.


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How to Cite
ŠKORIC, Mihailo. Classification of terms on a positive-negative feelings polarity scale based on emoticons. Infotheca - Journal for Digital Humanities, [S.l.], v. 17, n. 1, july 2017. ISSN 2217-9461. Available at: <>. Date accessed: 19 nov. 2018. doi:


data mining, information extraction, emotions, text on the web