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 ...
... tool that tests the new database and
gives some examples of the analysis of the ob-
tained results.
KEYWORDS: data mining, information
extraction, emotions, text on the web.
PAPER SUBMITTED: 24 January 2017
PAPER ACCEPTED: 25 March 2017
Mihailo Škorić
miks@tesla.rcub.bg.ac.rs
University of Belgrade ...
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AAAI Press, 2009.
Ptaszynski, Michael, Rafal Rzepka, Kenji Araki ...
Mihailo Škorić. "Classification of Terms on a Positive-Negative Feelings Polarity Scale Based on Emoticons" in Infotheca, Faculty of Philology, University of Belgrade (2017). https://doi.org/10.18485/infotheca.2017.17.1.4
