In order to help merchants understand user needs and product issues, and further improve product and service quality, aiming on on Vivo mobile phone review data,the internal connection between user focus and mobile phone characteristics and the trend of user sentiment tendency are explored through word cloud graph analysis, social semantic network analysis, and public opinion time series visualization analysis of comments data based on keywords . Then, the LDA topic feature analysis has been done. And the hybrid algorithm based on Word2vec, SVM and LDA is put forward to mine the potential topics of the user's positive and negative emotional comments, and get the user's reaction to different aspects of the Vivo mobile phone under different emotional tendencies. The analysis results show that the mining results based on the hybrid algorithm are clearer and more accurate than the visual analysis based on keywords and the topic analysis based on LDA, and the suggestions for businesses are more helpful.