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

  • Mihailo Škoric University of Belgrade

Abstract

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.

References

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Published
2017-07-19
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: <https://infoteka.bg.ac.rs/ojs/index.php/Infoteka/article/view/2017.17.1.4_en>. Date accessed: 19 nov. 2018. doi: https://doi.org/10.18485/infotheca.2017.17.1.4.

Keywords

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