With the popularity of micro-blog, Internet users in micro-blog discuss the hot issues and published personal views and opinions that become the important material for us to analyze the network public opinion. In order to analyze micro-blog users' emotion and track the network public opinion, we proposed a text sentiment analysis model based on micro-blog. According to the characteristics of the information on micro-blogging platform, the model presents a method to judge the emotional polarity of micro-blog's texts, solved the problem that there are too many emotional words or even conflicting emotional words in a micro-blog. Through the structure of the model, we can track and measure micro-blog user's emotion tendency of events effectively and provide the conditions for the research of related department.
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