Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Aug 2020.
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Citing papers per year: 2021: 1; 2022: 4.
5 papers.
- 2022SimRelUz: Similarity and Relatedness scores as a Semantic Evaluation dataset for Uzbek languagecited by 10
- 2022A machine transliteration tool between Uzbek alphabetscited by 8
- 2021Comparison of Machine Learning for Sentiment Analysis in Detecting Anxiety Based on Social Media Datacited by 3
- 2022Uzbek Sentiment Analysis based on local Restaurant Reviewscited by 3
- 2022Creating a morphological and syntactic tagged corpus for the Uzbek languagecited by 1
- 2022Creating a morphological and syntactic tagged corpus for the Uzbek language27 Oct 2022
- 2022Uzbek Sentiment Analysis based on local Restaurant Reviews31 May 2022
- 2022A machine transliteration tool between Uzbek alphabets19 May 2022
- 2022SimRelUz: Similarity and Relatedness scores as a Semantic Evaluation dataset for Uzbek language12 May 2022
- 2021Comparison of Machine Learning for Sentiment Analysis in Detecting Anxiety Based on Social Media Data16 Jan 2021