Classification of Terms on a Positive-Negative Feelings Polarity Scale Based on Emoticons

Објеката

Тип
Рад у часопису
Верзија рада
објављена верзија
Језик
енглески
Креатор
Mihailo Škorić
Извор
Infotheca
Издавач
Faculty of Philology, University of Belgrade
Датум издавања
2017
Сажетак
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.
том
17
издање
1
почетак странице
67
крај странице
91
doi
10.18485/infotheca.2017.17.1.4
issn
1450-9687
Subject
data mining, information extraction, emotions, text on the web
Шира категорија рада
M50
Ужа категорија рада
М53
Права
Отворени приступ
Лиценца
Creative Commons – Attribution-Share Alike 4.0 International
Формат
.pdf
Скупови објеката
Михаило Шкорић
Radovi istraživača

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

This item was submitted on 7. фебруар 2020. by [anonymous user] using the form “Рад у часопису” on the site “Радови”: http://drug.rgf.bg.ac.rs/s/repo

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