A Sudden Topic Detection Method for Chinese Micro-Blog

Chuan Zhu Liao; Wei Wang; Ming Yan Jiang

doi:10.4028/www.scientific.net/AMM.602-605.2174

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605A Sudden Topic Detection Method for Chinese...

A Sudden Topic Detection Method for Chinese Micro-Blog

Abstract:

With the characteristics of timeliness, rapid spread and easy access, micro-blog has made it possible to timely unearth emergencies and dynamically track the latest development. Considering frequency and timeliness of the words as well as the influence of resources, this paper proposes a sudden topic detection method, especially for micro-blog, and establishes a context-based weight evaluation model. Compared with semantic similarity model, this context-based model is especially more adaptable to micro-blog. Real experiment data from micro-blog proves that the proposed methods could detect sudden incidents effectively with big data processing capacity and low time complexity.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

2174-2179

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.2174

Citation:

Cite this paper

Online since:

August 2014

Authors:

Chuan Zhu Liao*, Wei Wang, Ming Yan Jiang

Keywords:

Emergency Detection, Incremental Fuzzy Clustering, Sudden Topic Detection

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* - Corresponding Author

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