Dirichlet Process Based Hierarchy Topic Model
Zhang Wu-qian · Science Technology and Engineering · 2013
As the growth of the size of users,data grows rapidly in Microblog,and this poses a huge challenge for mining hot topics from Microblog data. A post from a user can be forwarded by his friends,the friends of friends can also forward this post,and then a topic tree is constructed. However,in the construction of the tree,the number of iterations of the Microblog data depends on the height of the tree,and this is impossible in Microblog. A trees-based topic network construction model is proposed,which needs only a few iterations of Microblog data,and analyzes the latent topics among the trees by the Dirichlet process. Experiments show that our Dirichlet process based hierarchy topic model is better than related work in both accuracy and efficiency.