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。
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 .