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

TL;DR

This study explores how emoji features influence opinion classification accuracy in Uzbek movie reviews, highlighting the importance of emoji in social media sentiment analysis.

Contribution

It introduces the use of emoji-based features in Uzbek opinion mining and evaluates their impact across multiple classification algorithms.

Findings

Emoji features improve classification accuracy

Feature ranking shows emoji are highly discriminative

Multiple algorithms confirm the significance of emoji features

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.