Reading the markets: Forecasting public opinion of political candidates by news analysis

Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference

Volumn 1, Issue , 2008, Pages 473-480

  Lerman, Kevin ^a   Gilder, Ari ^b   Dredze, Mark ^b   Pereira, Fernando ^c  

^a Columbia University ^*  (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c GOOGLE INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DAILY NEWSPAPERS; MARKET PREDICTION; MARKET SYSTEM; MEDIA REPORTING; PREDICTION MARKETS; PUBLIC OPINIONS; PUBLIC PERCEPTION; SYSTEM USE;

COMMERCE; COMPUTATIONAL LINGUISTICS;

FORECASTING;

EID: 74049136224     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Debnath, S., D. M. Pennock, C. L. Giles, and S. Lawrence. 2003. Information incorporation in online in-game sports betting markets. In Electronic Commerce.
2. Devitt, Ann and Khurshid Ahmad. 2007. Sentiment polarity identification in financial news: A cohesion-based approach. In Association for Computational Linguistics (ACL).
3. Forsythe, R., T.A. Rietz, and T.W. Ross. 1999. Wishes, expectations, and actions: A survey on price formation in election stock markets. Journal of Economic Behavior and Organization, 39:83-110.
4. Gidöfalvi, G. 2001. Using news articles to predict stock price movements. Technical report, Univ. of California San Diego, San Diego.
5. Hurst, Matthew and Kamal Nigam. 2004. Retrieving topical sentiments from online document collections. In Document Recognition and Retrieval XL
6. Jank, Wolfgang and Natasha Foutz. 2007. Using virtual stock exchanges to forecast box-office revenue via functional shape analysis. In The Prediction Markets Workshop at Electronic Commerce.
7. Kim, Soo-Min and Eduard Hovy. 2007. Crystal: Analyzing predictive opinions on the web. In Empirical Methods in Natural Language Processing (EMNLP).
8. Koppel, M. and I. Shtrimberg. 2004. Good news or bad news? let the market decide. In AAAI Spring Symposium on Exploring Attitude and Affect in Text: Theories and Applications.
9. Lavrenko, V., M. Schmill, D. Lawrie, P. Ogilvie, D. Jensen, and J. Allan. 2000. Mining of concurrent text and time series. In KDD.
10. Littlestone, Nick and Manfred K. Warmuth. 1989. The weighted majority algorithm. In IEEE Symposium on Foundations of Computer Science.
11. McDonald, R., K. Lerman, and F. Pereira. 2006. Multilingual dependency parsing with a two-stage discriminative parser. In Conference on Natural Language Learning (CoNLL).
12. Mittermayer, M. and G. Knolmayer. 2006. News-CATS: A news categorization and trading system. In International Conference in Data Mining.
13. Pennock, D. M., S. Lawrence, C. L. Giles, and F. A. Nielsen. 2000. The power of play: Efficiency and forecast accuracy in web market games. Technical Report 2000-168, NEC Research Institute.
14. Pennock, D. M., S. Lawrence, F. A. Nielsen, and C. L. Giles. 2001. Extracting collective probabilistic forecasts from web games. In KDD.
15. Serrano-Padial, Ricardo. 2007. Strategic foundations of prediction markets and the efficient markets hypothesis. In The Prediction Markets Workshop at Electronic Commerce.
16. Servan-Schreiber, E., J. Wolfers, D. M. Pennock, and B. Galebach. 2004. Prediction markets: Does money matter? Electronic Markets, 14.
17. Toutanova, K., D. Klein, C. Manning, and Y. Singer. 2003. Feature-rich part-of-speech tagging with a cyclic dependency network. In HLT-NAACL.
18. Véronis, Jean. 2007. La presse a fait mieux que les sondeurs. http://aixtal.blogspot.com/2007/04/2007-la-presse-fait-mieux-que-les.html.
19. Wiebe, Janyce, Theresa Wilson, and Claire Cardie. 2005. Annotating expressions of opinions and emotions in language. LREC, 39:165-210.
20. Williams, L.V. 1999. Information efficiency in betting markets: A survey. Bulletin of Economic Research, 51:1-30.
21. Wolfers, J. and E. Zitzewitz. 2004. Prediction markets. Journal of Economic Perspectives, 18(2): 107-126.