关键词: 话题发现, 词共现网络, 遗传聚类算法, 词聚类算法

Abstract: In the topic detection methods, there usually exists the problem of unstable clustering results. In this paper, a network document set is modeled as word co-occurrence network, and a filtering method is designed so as to simplify the network, and then a GCA （Genetic Clustering Algorithm） is proposed for clustering the simplified network, such extracting topics from a network document set. Compared with other existing methods, the proposed method seems more stable for the obtained clustering results, which also has been confirmed in the experiment. This means the proposed method has better practical significance in actual applications.

Key words: topic detection, word co-occurrence network, Genetic Clustering Algorithm（GCA）, word clustering algorithm