과제정보
연구 과제번호 : Develop of mining core technology exploiting personal big data
연구 과제 주관 기관 : National Research Foundation of Korea(NRF), Ministry of Trade, Industry and Energy (MOTIE)
참고문헌
- H. Kwak, et al., "What is Twitter, a social network or a news media?," Proc. of the 19th international conference on World wide web. ACM, pp. 591-600, Apr. 2010.
- J. E. Chung and E. Mustafaraj, "Can collective sentiment expressed on twitter predict political elections?," AAAI, Vol. 11, Apr. 2011.
- F. Franch, "(Wisdom of the Crowds) 2: 2010 UK election prediction with social media," Journal of Information Technology & Politics, Vol. 10, No. 1, pp. 57-71, 2013. https://doi.org/10.1080/19331681.2012.705080
- T. O. Sprenger, "TweetTrader. net: Leveraging Crowd Wisdom in a Stock Microblogging Forum," ICWSM, pp. 663-664, May, 2011.
- J. Bollen, H. Mao, and X. Zeng, "Twitter mood predicts the stock market," Journal of computational science, Vol. 2, No. 1, pp. 1-8, 2011. https://doi.org/10.1016/j.jocs.2010.12.007
- J. Si, et al., "Exploiting Social Relations and Sentiment for Stock Prediction," EMNLP, Vol. 14, pp. 1139-1145, Oct. 2014.
- M. Naaman, H. Becker, and L. Gravan, "Hip and trendy: Characterizing emerging trends on Twitter," Journal of the Association for Information Science and Technology, Vol. 62, No. 5, pp. 902-918, 2011.
- H. Becker, M. Naaman, and L. Gravano, "Beyond Trending Topics: Real-World Event Identification on Twitter," ICWSM, Vol. 11, pp. 438-441, 2011.
- S. C. Han. and H. Chung, "Social issue gives you an opportunity: discovering the personalised relevance of social issues," Pacific Rim Knowledge Acquisition Workshop, Springer Berlin Heidelberg, pp. 272-284, Sep. 2012.
- S. C. Han, et al., "Chinese trending search terms popularity rank prediction," Information Technology and Management, Vol. 17, No. 2, pp. 133-139, 2016. https://doi.org/10.1007/s10799-015-0238-0
- K. Jaidka, et al., "SocialStories: Segmenting Stories within Trending Twitter Topics," Proc. of the 3rd IKDD Conference on Data Science, 2016, ACM, p. 1, Mar. 2016.
- A. Vakali, N. Kitmeridis, and M. Panourgia, "A distributed framework for early trending topics detection on big social networks data threads," INNS Conference on Big Data. Springer International Publishing, pp. 186-194, Oct. 2016.
- K. Lee, et al., "Twitter trending topic classification," 2011 11th IEEE International Conference on Data Mining Workshops (ICDMW), pp. 251-258, Dec. 2011.
- D. Kim, et al., "Predicting the Scale of Trending Topic Diffusion Among Online Communities," Pacific Rim Knowledge Acquisition Workshop, Springer International Publishing, pp. 153-165, Aug. 2016.
- S. Nikolov, and D. Shah, "A nonparametric method for early detection of trending topics," Proc. of the Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS 2012), MIT, Nov. 2012.
- P. D. Allison, Missing data, Thousand Oaks, CA: Sage, 2000.
- I. H. Witten, et al., Data Mining: Practical machine learning tools and techniques, Morgan Kaufmann, 2016.