Abstract: Micro-blogging,as a new form of social communication,is attracting more and more attention during the last few years. Simplicity of information and diversity of communication modes in micro-blogging make it an important channcl of seeking information about hot events and expressing personal views. By analyzing and monitoring sentiment information in micro-blogging posts,we have opportunities to gain insights into users' emotion trend on hot events, which can help us evaluate and grasp the current situation of hot events. Therefore, we proposed a hot event sentiment analysis method in micro-blogging. This method first automatically detects different aspects of an event from the user perspective, and then performs sentiment analysis and emotional monitoring on each aspect. Additionally,we built a novel hot cvent sentiment analysis prototype system. The experimental results show that micro-blogging is effective in monitoring hot events on World Wide Web.

Key words: Micro-blogging, Hot events, Sentiment mining, Emotional trend detection