The invention discloses a microblog topic emotion analysis method based on topic influence. The method comprises the following steps: collecting personal information data and microblog text data of amicroblog user; Preprocessing the data; Using an LDA model to carry out theme clustering; Selecting microblog contents of the topics for emotion polarity labeling and performing training to generate an SVM classifier; Using an SVM classifier to obtain the emotional tendency of the unlabeled text; Calculating microblog user influence factor values and similarity between microblogs and topics, calculating emotion values of the whole topics by combining microblog emotion polarities and topic influence factors, and sequencing the topics according to the emotion values, so as to provide reference for public opinion analysis. The public opinion event and hot topic possibly emerging in the microblog text topics can be found in time, the topic public opinion degrees are ranked according to topic influence, the method can be applied to network public opinion supervision and emergent public opinion event monitoring, and the problems that an existing public opinion system is not supervised in time and blindness are solved.