Unspecified Event Detection System Based on Contextual Location Name on Twitter


KIPS Transactions on Software and Data Engineering, Vol. 3, No. 9, pp. 341-348, Sep. 2014
10.3745/KTSDE.2014.3.9.341,   PDF Download:

Abstract

The advance in web accessibility with dissemination of smart phones gives rise to rapid increment of users on social network platforms. Many research projects are in progress to detect events using Twitter because it has a powerful influence on the dissemination of information with its open networks, and it is the representative service which generates more than 500 million Tweets a day in average; however, existing studies to detect events has been used TFIDF algorithm without any consideration of the various conditions of tweets. In addition, some of them detected predefined events. In this paper, we propose the RTFIDF.VT algorithm which is a modified algorithm of TFIDF by reflecting features of Twitter. We also verified the optimal section of TF and DF for detecting events through the experiment. Finally, we suggest a system that extracts result-sets of places and related keywords at the given specific time using the RTFIDF.VT algorithm and validated section of TF and DF.


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Cite this article
[IEEE Style]
P. H. Oh, J. Y. Yim, J. Y. Yoon, B. Y. Hwang, "Unspecified Event Detection System Based on Contextual Location Name on Twitter," KIPS Transactions on Software and Data Engineering, vol. 3, no. 9, pp. 341-348, 2014. DOI: 10.3745/KTSDE.2014.3.9.341.

[ACM Style]
Pyeong Hwa Oh, Jun Yeob Yim, Jin Young Yoon, and Byung Yeon Hwang. 2014. Unspecified Event Detection System Based on Contextual Location Name on Twitter. KIPS Transactions on Software and Data Engineering, 3, 9, (2014), 341-348. DOI: 10.3745/KTSDE.2014.3.9.341.