本文選題：表情符 + 情緒向量　； 參考：《計(jì)算機(jī)工程與科學(xué)》2016年03期

【摘要】：表情符作為一種新興的網(wǎng)絡(luò)語(yǔ)言,受到了越來越多的微博用戶的青睞。微博中出現(xiàn)的表情符形象直觀地表達(dá)了博主的情緒,對(duì)情緒分析起著至關(guān)重要的作用。首先對(duì)大量中文微博中表情符的使用特點(diǎn)、分布情況和情緒表達(dá)特點(diǎn)進(jìn)行了統(tǒng)計(jì)分析。然后,人工選取具有代表性且情感傾向明確的表情符作為六類基本情緒的種子表情符。根據(jù)目標(biāo)表情符和六類情緒的種子表情符在微博文本中的共現(xiàn)情況,為其建立六維情緒向量,并將其應(yīng)用于微博情緒分析。在兩個(gè)數(shù)據(jù)集上的實(shí)驗(yàn)結(jié)果表明,本文建立的表情符情緒向量有效地提高了微博情緒識(shí)別的精度。
[Abstract]:As a new network language, emoji is favored by more and more Weibo users. The appearance of emoji in Weibo intuitively expresses the blogger's emotion and plays an important role in emotional analysis. Firstly, the characteristics of emoji usage, distribution and emotional expression in Chinese Weibo are analyzed statistically. Then, the representative emoticons with clear affective tendency are artificially selected as seed emoticons of six basic emotions. According to the co-occurrence of the target emoji and the seed emoticons of six kinds of emotions in the Weibo text, the six-dimensional emotion vector is established and applied to the Weibo emotional analysis. The experimental results on two datasets show that the emoji emotion vector established in this paper can effectively improve the accuracy of Weibo emotion recognition.
【作者單位】： 南京航空航天大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(61202132)
【分類號(hào)】：TP391.1;TP393.092
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本文編號(hào)：2078674