Research on algorithm of extracting micro-blog's hot topics
Feifei Peng, Qian Xu, Hui Meng, Dan Zhou, Gaoren Li · 2011
Because of a large number of micro-blog's junk posts, how to instantly browse hot topics in micro-blog is faced with severe challenges. We propose a new extraction algorithm of hot topics to remove the false hot topics. The algorithm sets a group of parameters what is a determine condition. Parameters contain word frequency, users' number, occurrence number, users' discrete degrees, and time distribution of release or forward posts. The preliminary results show that the new algorithm can effectively extract hot topics from micro-blog and remove the false hot topics at the same time.