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Hypergraph Partition with Harmonic Average Top-N and PCA for Topic Detection | IEEE Conference Publication | IEEE Xplore

Hypergraph Partition with Harmonic Average Top-N and PCA for Topic Detection


Abstract:

An algorithm named SMHP is proposed, which aims at improving the efficiency of Topic Detection. In SMHP, a T-MI-TFIDF model is designed by introducing mutual information ...Show More

Abstract:

An algorithm named SMHP is proposed, which aims at improving the efficiency of Topic Detection. In SMHP, a T-MI-TFIDF model is designed by introducing mutual information (MI) and enhancing the weight of terms in the title. Then VSM is constructed according to terms' weight, and the dimension is reduced by combining H-TOPN and PCA. Then topics are grouped based on SMHP. Experiment results show the proposed methods are more suitable for clustering topics. SMHP with novel approaches can effectively solve the relationship of multiple stories problem and improve the accuracy of cluster results.
Date of Conference: 18-20 December 2010
Date Added to IEEE Xplore: 17 February 2011
Print ISBN:978-1-4244-9482-8

ISSN Information:

Conference Location: Liaoning, China

References

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