Emotional tendency identification for micro-blog topics based on multiple characteristics

Public opinion analysis for micro-blog post is a new trend, and wherein emotional tendency analysis on micro-blog topic is a hot spot in the sentiment analysis. According to the characteristics of contents and the various relations of Chinese micro-blog post, we construct the dictionaries of sentiment words, internet slang and emoticons respectively, and then implement the sentiment analysis algorithms based on phrase path and the multiple characteristics for emotional tendency of micro-blog topics. Using micro-blogs' forwarding, commentaries, sharing and so on, We take a future step to optimize the algorithm based on the multiple characteristics. According to the experimental results, our approach greatly improves the performance of emotional tendency identification on micro-blog topic.