Abstract
Opinion mining on social media posts has become more and more popular. Users often express their opinion on a topic not only with words but they also use image symbols such as emoticons and emoji. In this paper, we investigate the effect of emoji-based features in opinion classification of Uzbek texts, and more specifically movie review comments from YouTube. Several classification algorithms are tested, and feature ranking is performed to evaluate the discriminative ability of the emoji-based features.
Original language | English |
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Title of host publication | Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings |
Editors | Alexey Karpov, Rodmonga Potapova |
Publisher | Springer Nature Link |
Pages | 435-445 |
Number of pages | 11 |
ISBN (Electronic) | 978303060276-5 |
ISBN (Print) | 9783030602758 |
DOIs | |
Publication status | E-pub ahead of print - 29 Sept 2020 |
Event | 22nd International Conference, SPECOM 2020 - St. Petersburg, Russian Federation Duration: 7 Oct 2020 → 9 Oct 2020 http://www.specom.nw.ru/2020/ |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 12335 LNAI |
ISSN (Print) | 0302-9743 |
Conference
Conference | 22nd International Conference, SPECOM 2020 |
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Country/Territory | Russian Federation |
City | St. Petersburg |
Period | 7/10/20 → 9/10/20 |
Internet address |
Keywords
- Emoji
- Opinion classification
- Sentiment analysis