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 MoreMetadata
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.
Published in: 2010 3rd International Symposium on Parallel Architectures, Algorithms and Programming
Date of Conference: 18-20 December 2010
Date Added to IEEE Xplore: 17 February 2011
Print ISBN:978-1-4244-9482-8