Extracting Core Events Based on Timeline and Retweet Analysis in Twitter Corpus


KIPS Transactions on Software and Data Engineering, Vol. 1, No. 1, pp. 69-74, Oct. 2012
10.3745/KTSDE.2012.1.1.69,   PDF Download:

Abstract

Many internet users attempt to focus on the issues which have posted on social network services in a very short time. When some social big issue or event occurred, it will affect the number of comments and retweet on that day in twitter. In this paper, we propose the method of extracting core events based on timeline analysis, sentiment feature and retweet information in twitter data. To validate our method, we have compared the methods using only the frequency of words, word frequency with sentiment analysis, using only chi-square method and using sentiment analysis with chi-square method. For justification of the proposed approach, we have evaluated accuracy of correct answers in top 10 results. The proposed method achieved 94.9% performance. The experimental results show that the proposed method is effective for extracting core events in twitter corpus.


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Cite this article
[IEEE Style]
B. Tsolmon, "Extracting Core Events Based on Timeline and Retweet Analysis in Twitter Corpus," KIPS Transactions on Software and Data Engineering, vol. 1, no. 1, pp. 69-74, 2012. DOI: 10.3745/KTSDE.2012.1.1.69.

[ACM Style]
Bayar Tsolmon. 2012. Extracting Core Events Based on Timeline and Retweet Analysis in Twitter Corpus. KIPS Transactions on Software and Data Engineering, 1, 1, (2012), 69-74. DOI: 10.3745/KTSDE.2012.1.1.69.