"Boom" or "ruin" - Does it make a difference? Using text mining and sentiment analysis to support intraday investment decisions

Proceedings of the Annual Hawaii International Conference on System Sciences

Volumn , Issue , 2012, Pages 1050-1059

  Siering, Michael ^a  

^a GOETHE UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COSTS; DECISION MAKING; FINANCIAL MARKETS; FORECASTING; INVESTMENTS; NATURAL LANGUAGE PROCESSING SYSTEMS;

AMOUNT OF INFORMATION; DECISION MAKING PROCESS; FINANCIAL NEWS; INVESTMENT DECISIONS; NEWS ARTICLES; RECENT RESEARCHES; SENTIMENT ANALYSIS; TWO STAGE APPROACH;

DATA MINING;

EID: 84857953730     PISSN: 15301605     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HICSS.2012.2     Document Type: Conference Paper

References (36)

1. W. Antweiler and M. Z. Frank, "Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards", The Journal of Finance (59, 3), 2004, pp. 1259-1294.
2. C. Apté F. Damerau, and S. M. Weiss, "Automated learning of decision rules for text categorization", ACM Transactions on Information Systems (12, 3), 1994, pp. 233-251.
3. J. Bollen, H. Mao, and X.-J. Zeng, "Twitter mood predicts the stock market", Journal of Computational Science (2, 1), 2011, pp. 1-8.
4. G. W. Brown and M. T. Cliff, "Investor sentiment and the near-term stock market", Journal of Empirical Finance (11, 1), 2004, pp. 1-27.
5. M. Chau and H. Chen, "A machine learning approach to web page filtering using content and structure analysis", Decision Support Systems (44, 2), 2008, pp. 482-494.
6. S. R. Das and M. Y. Chen, "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web", Management Science (53, 9), 2007, pp. 1375-1388.
7. D. Delen and M. D. Crossland, "Seeding the survey and analysis of research literature with text mining", Expert Systems with Applications (34, 3), 2008, pp. 1707-1720.
8. V. Dhar and R. Stein, "Intelligent decision support methods. The science of knowledge work", Prentice Hall, Upper Saddle River, NJ, 1997.
9. E. F. Fama, "Efficient Capital Markets: A Review of Theory and Empirical Work", The Journal of Finance (25, 2), 1970, pp. 383-417.
10. T. Geva and J. Zahavi, "Predicting Intraday Stock Returns by Integrating Market Data and Financial News Reports", Proc. of the 5th Mediterranean Conference on Information Systems, Tel-Aviv-Yafo, Israel, 2010.
11. S. S. Groth and J. Muntermann, "Supporting Investment Management Processes with Machine Learning Techniques", Proc. of the 9th Internationale Tagung Wirtschaftsinformatik, vol. 2, Vienna, Austria, 2009, pp. 275-284.
12. S. S. Groth and J. Muntermann, "An intraday market risk management approach based on textual analysis", Decision Support Systems (50, 4), 2011, pp. 680-691.
13. A. Hotho, A. Nümnberger, and G. Paaß, "A Brief Survey of Text Mining", GLDV Journal for Computational Linguistics (20, 1), 2005, pp. 19-62.
14. T. Joachims, "Text Categorization with Support Vector Machines: Learning with Many Relevant Features", Proc. of the 10th European Conference on Machine Learning, Chemnitz, Germany, 1998, pp. 137-142.
15. R. Kohavi, "A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection", Proc. of the International Joint Conference on Artificial Intelligence, Montreal, Quebec, Canada, 1995.
16. S. B. Kotsiantis, "Supervised Machine Learning: A Review of Classification Techniques", Informatica (31, 3), 2007, pp. 249-268.
17. V. Lavrenko, M. Schmill, D. Lawrie, P. Ogilvie, D. Jensen, and J. Allan, "Language Models for Financial News Recommendation", Proc. of the Ninth Intern. Conf. on Information and Knowledge Management (CIKM00), Washington, DC, USA, 2000, pp. 389-396.
18. T. Loughran and B. McDonald, "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10- Ks", The Journal of Finance (66, 1), 2011, pp. 35-65.
19. A. C. MacKinlay, "Event Studies in Economics and Finance", Journal of Economic Literature (35, 1), 1997, pp. 13-39.
20. A. McWilliams and D. Siegel, "Event Studies in Management Research: Theoretical and Empirical Issues", The Academy of Management Journal (40, 3), 1997, pp. 626-657.
21. M. L. Mitchell and J. M. Netter, "The Role of Financial Economics in Securities Fraud Cases: Applications at the Securities and Exchange Commission", Business Lawyer (49), 1993, p. 545.
22. T. Mitchell, "Machine learning", McGraw-Hill, London, 1997.
23. M.-A. Mittermayer, "Forecasting Intraday Stock Price Trends with Text Mining Techniques", Proc. of the 37th Hawaii International Conference on System Sciences, Big Island, Hawaii, USA, 2004.
24. J. Muntermann and A. Guettler, "Intraday stock price effects of ad hoc disclosures: the German case", Journal of International Financial Markets, Institutions and Money (17, 1), 2007, pp. 1-24.
25. R. Nisbet, J. F. Elder, and G. Miner, "Handbook of statistical analysis and data mining applications", Academic Press/Elsevier, Amsterdam, Boston, 2009.
26. B. Pang and L. Lee, "Opinion Mining and Sentiment Analysis", Foundations and Trends in Information Retrieval (2, 1-2), 2008, pp. 1-135.
27. B. Pang, L. Lee, and S. Vaithyanathan, "Thumbs up? Sentiment Classification using Machine Learning Techniques", Proc. of the Conference on Empirical Methods in Natural Language Processing, Philadelphia, Pennsylvania, USA, 2002, pp. 79-86.
28. M. Porter, "An Algorithm for Suffix Stripping", Program (14, 3), 1980, pp. 211-218.
29. R. Schumaker and H. Chen, "Textual Analysis of Stock Market Prediction Using Financial News Articles", Proc. of the 12th Americas Conference on Information Systems, Acapulco Mexico, 2006.
30. P. C. Tetlock, "Giving Content to Investor Sentiment: The Role of Media in the Stock Market", The Journal of Finance (62, 3), 2007, pp. 1139-1168.
31. P. C. Tetlock, M. Saar-Tsechansky, and S. Macskassy, "More Than Words: Quantifying Language to Measure Firms' Fundamentals", The Journal of Finance (63, 3), 2008, pp. 1437-1467.
32. M. Thelwall, K. Buckley, and G. Paltoglou, "Sentiment in Twitter events", Journal of the ASIS&T (62, 2), 2011, pp. 406-418.
33. C.-P. Wei and Y.-X. Dong, "A Mining-based Category Evolution Approach to Managing Online Document Categories", Proc. of the 34th Hawaii International Conference on System Sciences, Maui, USA, 2001.
34. B. Wuthrich, V. Cho, S. Leung, D. Permunetilleke, K. Sankaran, J. Zhang, and W. Lam, "Daily Stock Market Forecast from Textual Web Data", Proc. of the IEEE International Conference on Systems, Man, and Cybernetics, San Diego, CA, USA, 1998.
35. W. Zhang and S. Skiena, "Trading Strategies To Exploit Blog and News Sentiment", Proc. of the 4th International AAAI Conference on Weblogs and Social Media, Washington, DC, USA, 2010.
36. L. Zhou and P. Chaovalit, "Ontology-supported polarity mining", Journal of the ASIS&T (59, 1), 2008, pp. 98-110.