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Sentiment Polarity Estimation of Emoticons by Polarity Scoring of Character Components

机译:通过字符成分的极性计分表情符号的情感极性估计

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摘要

Emoticons are frequently used in online communication. This study, which focuses on front-facing emoticons (Japanese style), proposes an easy method for estimating the sentiment polarity (positive, negative, or neutral) of emoticons by polarity scoring of characters that correspond with features of the emoticon (cheeks, eyes, or mouth). The polarity score is calculated based on the appearance probability of emoticon characters.
机译:在线交流中经常使用图释。这项研究着重于正面表情符号(日式风格),提出了一种简单的方法来评估表情符号的情感极性(正,负或中性),方法是对与表情符号(脸颊,眼睛)相对应的字符进行极性评分或嘴)。根据表情符号字符的出现概率计算极性分数。

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