Volume 8 Number 1 (Jan. 2013)
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JSW 2013 Vol.8(1): 192-199 ISSN: 1796-217X
doi: 10.4304/jsw.8.1.192-199

Statistical Methods based on Semantic Similarity of Topics Related to Microblogging

Dongqing Wu, Fengjian Yang, Chaolong Zhang
Computation Science Department , Zhongkai University of Agriculture and Engineering, Guangzhou Guangdong 510225

Abstract—Existing topic tracking methods are mostly for news and forum data, which lack of statistical methods for microblogging on relevant topics. Combined with characteristics of micro-blog information, the paper proposes a microblogging statistical methods based on semantic similarity. Firstly by building topic semantic model and then use the HowNet semantic similarity calculation of two terms, and measures the relevance of the topic and microblogging. Finally statistics method is provided on the degree of correlation. Experiments show that novel method works on the problem soundly.

Index Terms—Microblogging topic, semantic similarity, HowNet, LSI, statistical methods.


Cite: Dongqing Wu, Fengjian Yang, Chaolong Zhang, "Statistical Methods based on Semantic Similarity of Topics Related to Microblogging," Journal of Software vol. 8, no. 1, pp. 192-199, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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