Indonesian Journal of Electrical Engineering and Computer Science
Vol 11, No 6: June 2013

Bursty Hot-Words Detection for Campus BBS

Geng Changxin (University of Finance and Economics)
Zhu Xiaoguang (University of Finance and Economics)
Nie Peiyao (University of Finance and Economics)
Lin Peiguang (University of Finance and Economics)



Article Info

Publish Date
01 Jun 2013

Abstract

In the monitoring of campus public opinions, hot words often reflect the latest burst hot topics within a certain period of time. Therefore, this paper takes in-depth research for bursty hot words detection. In the process of words weight calculation, we consider not only traditional features such as TF, IDF, but also the burstiness, part of speech, length, location in text and other factors. Consequently, the measurement formula of burstiness and the weight calculating formula based on symphysic multi-features are proposed. The weight calculating formula can identify the bursty hot-words quickly and accurately, and then discover the bursty events, finally realizing the early warning of campus public opinions effectively. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2671

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