Blog Topic Detection Based on the Model

Tao Kuang; Shan Hong Zhu

doi:10.4028/www.scientific.net/AMR.926-930.2221

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Blog Topic Detection Based on the Model

Blog Topic Detection Based on the Model

Abstract:

Constructing and updating model from blog is also the process of topic detection and tracking, then, a detecting method of topics on blog based on model is proposed. It includes the use of measuring method Based on the event information to cluster for post and topic information to cluster event set (blog) which is combined with semantic vector space model, the use of the main idea of information granularity of topic detection and tracking algorithm has to be used and improved in order to generate the final clustering. The experimental results show that the algorithm has an accurate result in blog topic detection

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

2221-2224

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.2221

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Online since:

May 2014

Authors:

Tao Kuang*, Shan Hong Zhu

Keywords:

Semantic Model, Topic Detection, Tracking Algorithm

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