关键词: 微博短文本, 语义相似度, 双态话题模型, 话题漂移, 话题跟踪

Abstract: For the sparsity of the prior reports topic-related and the problem of topic drift produced in the process of topic development, a method of micro-blog topic tracking based on double models is presented, combined with the features of micro-blog texts. It firstly puts forward a way to build the double topic model, and divides the topic into two parts-permanent storage area and temporary storage area, which are used to keep the center of topic and track the changes of part of features in the topic respectively. And then, updates topic model in the process of topic tracking dynamically so as to cope with topic drift effectively. After being compared with other methods of topic tracking for micro-blog texts, the results show that the proposed method has decreased the miss rate, false detection rate and so on, effectively improving the effect of topic tracking.

Key words: micro-blog short text, semantic similarity, double topic model, topic drift, topic tracking