论文标题
调查表情符号在乌兹别克人电影评论的意见分类中的效果评论
Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments
论文作者
论文摘要
在社交媒体帖子上挖掘的意见越来越流行。用户经常不仅用单词表达对主题的看法，而且还使用图像符号，例如表情符号和表情符号。在本文中，我们研究了基于表情符号的特征在乌兹别克文本的意见分类中的效果，更具体地说是YouTube的电影评论评论。测试了几种分类算法，并执行功能排名以评估基于表情符号特征的歧视能力。
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.
