CAJ | 학술논문

通过分析微博的结构特点，提出了一种基于语义分析的中文微博情感分类方法。首先构建了表情符号情感词典和网络用语情感词典；然后结合词典资源对微博文本进行依存句法分析并且构建情感表达式树；最后根据制定的规则计算微博文本的情感强度，依据强度值判断微博的情感倾向类别。实验结果验证了该方法的有效性，也表明所构建的表情符号情感词典和网络用语情感词典能够有效增强情感分类器的性能。
통과분석미박적결구특점，제출료일충기우어의분석적중문미박정감분류방법。수선구건료표정부호정감사전화망락용어정감사전；연후결합사전자원대미박문본진행의존구법분석병차구건정감표체식수；최후근거제정적규칙계산미박문본적정감강도，의거강도치판단미박적정감경향유별。실험결과험증료해방법적유효성，야표명소구건적표정부호정감사전화망락용어정감사전능구유효증강정감분류기적성능。
By analyzing the structural features of Chinese Micro-blog,a sentiment classification method based on seman-tic analysis was proposed.For the proposed method,firstly,an emoticons sentiment lexicon and a network language sentiment lexicon were built.Then by using these two lexicons and the dependency parsing results,the sentiment ex-pression Binary Tree was constructed.Finally,the sentiment strength,which was calculated by the established rules, was applied into the sentiment classification.Experimental results show that this method is effective and two built senti-ment lexicons can better enhance the performance of the sentiment analysis system.