Study on Topic Tree-Based Topic Structure Modeling

Yin Fei Huang; Qian Chen; Shu Han Yuan; Dong Dong Lv; Qi Zhang

doi:10.4028/www.scientific.net/AMM.687-691.1320

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Study on Topic Tree-Based Topic Structure Modeling

Study on Topic Tree-Based Topic Structure Modeling

Abstract:

The topic tree-based topic structure model is proposed using five-tuple and probability theory of ontology. Vocabularies in the glossary are presented with leaf nodes of the topic tree. The results of simulation experiment on real news corpus eventually show that the topic similarity of sym-KL divergence could construct a topic tree more accurately and dig the potential semantic topic characteristics of time and space more deeply in the text stream compared with other flat topic structure models.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

1320-1323

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.1320

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Online since:

November 2014

Authors:

Yin Fei Huang, Qian Chen, Shu Han Yuan, Dong Dong Lv, Qi Zhang

Keywords:

Text Stream, Topic Structure Modeling, Topic Tree

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