參考文獻 |
1. Abbasi, A., Chen, H. (2008), ” Cyber Gate: a design framework and system for text analysis of computer-mediated communication.” MIS Q. 32, 811-837.
2. Baumeister, R. F., Vohs, K. D., DeWall, C. N., & Zhang, L. (2007),” How emotion shapes behavior: Feedback, anticipation, and reflection, rather than direct causation.” Personality and Social Psychology Review, 11(2), 167-203.
3. Bollen, J., Mao, H., Zeng, X. (2010),”Twitter mood predicts the stock market.” Journal of Computational Science 2(1),1-8.
4. Brown, Gregory W. and Michael T. Cliff. (2002), “Investor sentiment and near term stock market” Journal of Empirical Finance, 1-27.
5. Dolan, R.J. (2002), “Emotion, cognition, and behavior.” Science 298(5596), 1191–1194.
6. Ekman, P., & Friesen, W. V. (1976),” Measuring facial movement.” Environmental
Psychology and Nonverbal Behavior, 56-75.
7. F. Yang, Y. Liu, X. Yu and M. Yang. (2012), “Automatic detection of rumor on Sina
Weibo” ACM SIGKDD Workshop on Mining Data Semantics.
8. Fama, E. F. (1970), “Efficient Capital Markets: A review of theory and empirical work.”
Journal of Finance 25, 383-417.
9. Gilbert, E., Karahalio, E. (2010),”Widespread worry and the stock market.” International
AAAI Conference on Weblogs and Social Media.
10. Gruhl, D., Guha, R., Kumar, R., Novak, J., Tomkins A. (2005),” The predictive power of
online chatter.” Proceedings of the Eleventh ACM SIGKDD International Conference on
Knowledge Discovery in Data Mining, 78-87.
11. Kahneman, D., and Tversky, A. (1979), “Prospect theory: An analysis of decision under
risk” Econometrica 47, 263-291.
12. Ku, L.-W., & Chen, H.-H. (2007),”Mining opinions from the Web: Beyond relevance
retrieval.” Journal of the American Society for Information Science and Technology,
58(12), 1838-1850.
13. L. H. Xu, H.F. Lin, Y. Pan. (2008), ”Constructing the Affective Lexicon Ontology.”
China Society for Scientific and Technical Information, 180-185.
14. Liang,H.,Tsai,F.S.,Kwee, A.T. (2009),”Detecting novel business blogs.” Proceedings of
the 7th International Conference on Information, Communications and Signal
Processing.
15. Liu,A.Y.,Gu,B.,Konana,P.,Ghosh,J. (2002), ”Predicting stock price from financial
message boards with a mixture of experts framework.” Intelligent Data Exploration &
Analysis Laboratory, 1-14.
16. Mishne, G., Glance N. (2006),” Predicting movie sales from blogger sentiment.”
Proceedings of AAAI-CAAW , The Spring Symposia on Computational Approaches to
25
Analyzing Weblogs.
17. Nofsinger,J.R. (2005),” Social mood and financial economics. ”Journal of Behavioral
Finance.6(3),144-160.
18. O‟Leary, D.E. (2011),” blog mining-review and extensions: „from each according to his
opinion‟.” Support Syst. 54, 821-830.
19. O′Connor, B., Balasubramanyan, R., Routledge, B. R., & Smith, N. A. (2010), “From
Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series.” Proceedings of
the Fourth International AAAI Conference on Weblogs and Social Media,122-129.
20. Q. Gao, F. Abel, G.J. Houben and Y. Yu. (2012), ”A comparative study of users‟ microblogging behavior on Sina Weibo and Twitter, in: User Modeling” Adaptation, and Personalization, 88-101.
21. Rystrom, D. S., & Benson, E. D. (1989),” Investor psychology and the day-of-the-week effect.” Financial Analysts Journal, 45(5), 75-78.
22. Schumaker, R. P., Zhang, Y., Huang, C. N., & Chen, H. (2012),” Evaluating sentiment in financial news articles.” Decision Support Systems, 53(3), 458-464.
23. Schumaker, R.P., Chen, H. (2009),” Textual analysis of stock market prediction using breaking financial news: the AZF in text system”. Journal ACM Transactions on Information Systems, 1-19.
24. Shiller, Robert J., Fumiko, Kon-Ya and Yoshiro Tsutsui. (1996),”Why did the Nikkei Crash? Expanding the scope of expectations data collection.”, Economics and Statistics 78 (1), 156-64.
25. Shleifer,A. (2000), “The inefficient markets : an introduction to behavioral finance. ”.
26. Thomas R. Gruber.(1993),A Translation Approach to Portable Ontology Specifications,
Knowledge Acquisition, 199-220.
27. Tumasjan, A., Sprenger, T. O., Sandner, P. G., & Welpe, I. M. (2010),” Predicting
elections with twitter: What 140 characters reveal about political sentiment.” Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, 178-185.
28. Wen Hao Chen, Yi Cai, and Kin Keung Lai. (2016),” Weibo Mood Towards Stock Market.” DASFAA 2016 Workshops, 3-14.
29. Zhang,X.,Fuehres,H.,Gloor,P.A.(2011), ”Predicting stock market indicator through twitter “I hope it is not as bad as I fear”. Procedia - Social and Behavioral Sciences,55-62.
30. 中研院知網 (2003), http://ckip.iis.sinica.edu.tw/CKIP/conceptnet.htm
31. Ptt 網站介紹 (2017), https://zh.wikipedia.org/wiki/批踢踢
32. 社群媒體使用者統計(2016), http://expandedramblings.com/index.php/resource-how-many-people-use-the-top-social-media
33. 聯合新聞網(2016), https://udn.com/news/story/7239/1764949 |