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

트위터 문서에서 시간 및 리트윗 분석을 통한 핵심 사건 추출

  • ;
  • 이경순 (전북대학교 컴퓨터공학부/영상정보신기술연구센터)
  • Received : 2012.01.18
  • Accepted : 2012.06.03
  • Published : 2012.10.30

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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Cited by

  1. Geographical Name Denoising by Machine Learning of Event Detection Based on Twitter vol.4, pp.10, 2015, https://doi.org/10.3745/KTSDE.2015.4.10.447