Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments

Ilyos Rabbimov, Iosif Mporas, Vasiliki Simaki, Sami Kobilov

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review


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 languageEnglish
Title of host publicationSpeech and Computer - 22nd International Conference, SPECOM 2020, Proceedings
EditorsAlexey Karpov, Rodmonga Potapova
PublisherSpringer Nature
Number of pages11
ISBN (Electronic)978303060276-5
ISBN (Print)9783030602758
Publication statusE-pub ahead of print - 29 Sept 2020
Event22nd International Conference, SPECOM 2020 - St. Petersburg, Russian Federation
Duration: 7 Oct 20209 Oct 2020

Publication series

NameLecture Notes in Computer Science
Volume12335 LNAI
ISSN (Print)0302-9743


Conference22nd International Conference, SPECOM 2020
Country/TerritoryRussian Federation
City St. Petersburg
Internet address


  • Emoji
  • Opinion classification
  • Sentiment analysis


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