A Topic Partition Algorithm Based on Average Sentence Similarity for Interactive Text

Based on the research and analysis of interactive text properties, the word frequency statistics and synonyms merger are imported to obtain the keywords of interactive text. The Sentence similarity is used to describe the degree of coupling between sentences. Then a novel topic partition algorithm based on average sentence similarity is proposed. The experimental results show the effectiveness of the algorithm. Along with the mining of the deep correlations among texts, the algorithm precision and accuracy will be improved.

[1]  Yi Liu,et al.  Chinese Sentence Similarity Based on Multi-feature Combination , 2009, 2009 WRI Global Congress on Intelligent Systems.

[2]  Ronald R. Yager,et al.  WebPET: An Online Tool for Lexicographic Decision Making , 2010, IEEE Intelligent Systems.

[3]  Li Kai.  Dynamic Assembly Classification Algorithm for Short Text , 2009 .

[4]  Zhang Pei-ying.  Model for sentence similarity computing based on multi-features combination , 2010 .

[5]  Fan Xing-hua.  Named entity recognition for short text , 2009 .

[6]  Dan Wang,et al.  Named entity recognition for short text: Named entity recognition for short text , 2009 .

[7]  Fuji Ren,et al.  Chinese sentence similarity based on word context and semantic , 2009, 2009 International Conference on Natural Language Processing and Knowledge Engineering.

[8]  Zhuang Wei-hua,et al.  Improved method on Web log sequential pattern mining , 2010 .

[9]  Ning Liu,et al.  Topic Detection and Tracking , 2009, Encyclopedia of Database Systems.

[10]  Hsinchun Chen,et al.  AI and Opinion Mining , 2010, IEEE Intelligent Systems.

[11]  Xu Hong-bo,et al.  The Study of Topic Detection Based on Algorithm of Division and Multi-level Clustering with Multi-strategy Optimization , 2006 .

[12]  Özcan Özyurt,et al.  Chat mining: Automatically determination of chat conversations' topic in Turkish text based chat mediums , 2010, Expert Syst. Appl..

[13]  Craig H. Martell,et al.  Topic Detection and Extraction in Chat , 2008, 2008 IEEE International Conference on Semantic Computing.

[14]  Weiwei Sun,et al.  A lightweight Chinese semantic dependency parsing model based on sentence compression , 2010, Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010).

[15]  Helena Ahonen-Myka,et al.  Simple Semantics in Topic Detection and Tracking , 2004, Information Retrieval.

[16]  Li Sheng,et al.  Topic Detection and Tracking Review , 2007 .