Topic Detection Research Based on Multi-Models

Su Xian Zhang; Dong Zhang; Su Xiang Zhang; Bing Zhen Zhao; Lin Yan Xie

doi:10.4028/www.scientific.net/AMM.740.866

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 740Topic Detection Research Based on Multi-Models

Topic Detection Research Based on Multi-Models

Abstract:

In this paper, a novel approach was proposed for the topic detection which combined the multi-models. We paid attention to the content similarity, time similarity and location similarity respectively, at the same time, the Bayesian model also was researched and the atomic characteristics words were extracted. Combined the expert knowledge and multi-models, the experiment was completed and the experimental results show that the approach is effective.

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Periodical:

Applied Mechanics and Materials (Volume 740)

Pages:

866-870

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.740.866

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Online since:

March 2015

Authors:

Su Xian Zhang*, Dong Zhang, Su Xiang Zhang, Bing Zhen Zhao, Lin Yan Xie

Keywords:

Bayesian Model, Clustering, Entity Information Similarity, Topic Detection

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* - Corresponding Author

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