Vol. 17, No. 1, 2017
Mihailo Škorić
University of Belgrade
CLASSIFICATION OF TERMS ON A POSITIVE-NEGATIVE
FEELINGS POLARITY SCALE BASED ON EMOTICONS
DOI 10.18485/infotheca.2017.17.1.4
UDC:811.163.41’322.2
Keywords:data mining, information extraction, emotions, text on the web
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.
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CLASSIFICATION OF TERMS ON A POSITIVE-NEGATIVE FEELINGS POLARITY SCALE BASED ON EMOTICONS
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Ana Savić
REVIEWS
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EXHIBITION “DIGITAL CYRILLICS”
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