CAJ | 학술논문

通过对中文微博情感分类的深入研究，该文提出了基于回应消息的中文微博情感分类方法。首先，对微博回应消息进行情感标注，然后利用回应消息情感分布结合SVM算法对微博文本情感进行分类；其次，对分类特征进行了详细分析。实验结果表明，该方法能够得到更高的准确率和召回率。
통과대중문미박정감분류적심입연구，해문제출료기우회응소식적중문미박정감분류방법。수선，대미박회응소식진행정감표주，연후이용회응소식정감분포결합SVM산법대미박문본정감진행분류；기차，대분류특정진행료상세분석。실험결과표명，해방법능구득도경고적준학솔화소회솔。
Based on the Chinese micro-blog text sentiment classification of in-depth study , this paper proposes a sentiment classification method to Chinese micro-blog based on replying message .Firstly the micro-blog's response messages must be marked by the emotion tagging method , and then the results are used to classify the text's emotion .Secondly the results which are generated from the first step are analyzed in detail . Experimental results show that the proposed method by this paper achieved the better precision and recall rate .