%0 Journal Article %A SHI Jing %A LI Wan-long %T Research on comparison of three topic segmentation approaches %D 2009 %R 10.3778/j.issn.1002-8331.2009.18.041 %J Computer Engineering and Applications %P 135-138 %V 45 %N 18 %X Text segmentation is very important for many fields including information retrieval,summarization,language modeling,anaphora resolution and so on.Text segmentation based on PLSA and LDA associates different latent topics with observable pairs of word and sentence.While segmentation based on small world relies on highly clustered feature and character of short path length.The three approaches of segmentation are compared from the theory of model,strategy of segmentation and results of experiments.The analysis shows that segmentation based on LDA is more stable than that based on PLSA and the error rate is lower.The segmentation based on small world is proper for those texts which has more obvious features of small world. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2009.18.041