An algorithm for event detection based on social media data

Online social network applications such as Twitter, Weibo, have played an important role in people's life. There exists tremendous information in the tweets. However, how to mine the tweets and get valuable information is a difficult problem. In this paper, we design the whole process for extracting data from Weibo and develop an algorithm for the foodborne disease event detection. The detected foodborne disease information are then utilized to assist the restaurant recommendation. The experiments results show the effectiveness and efficiency of our method.