BBS hot topic mining algorithm based on fuzzy clustering
Wei Shan-ling · Journal of Dalian Maritime University · 2008
A bulletin board system(BBS) hot topic mining algorithm based on fuzzy clustering was developed to solve the problem of the post thread with multiple topics and identifying the outliers in clustering.Fuzzy clustering was used to make one post thread belonging to many topics and the post thread whose membership degree being far less than the in-class average membership degree was treated as the outlier.Moreover,a kind of feature representation for BBS texts was given,and the formula to evaluate the hotness of topics based on fuzzy partition was also given in consideration of the membership degree.Experimental results verify the efficiency of the proposed algorithm.