Making words work: Using financial text as a predictor of financial events

Decision Support Systems

Volumn 50, Issue 1, 2010, Pages 164-175

  Cecchini, Mark ^a   Aytug, Haldun ^b   Koehler, Gary J ^b   Pathak, Praveen ^b  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

Automatic text analysis; Bankruptcy; Financial event prediction; Management fraud; SVM; WordNet

Indexed keywords

BANKRUPTCY; FINANCIAL EVENTS; MANAGEMENT FRAUD; SVM; TEXT ANALYSIS; WORDNET;

CRIME; FORECASTING; INDUSTRY; ONTOLOGY; SEMANTIC WEB;

FINANCE;

EID: 78049452076     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dss.2010.07.012     Document Type: Article

References (33)

1. C. Aasheim, and G.J. Koehler Scanning World Wide Web documents with the vector space model Decision Support Systems 42 2006 690 699 (Pubitemid 44537468)
2. E. Altman Financial ratios, discriminant analysis and the prediction of corporate bankruptcy Journal of Finance 23 1968 193 194
3. W. Antweiler, and M.Z. Frank Is all that talk just noise? The information content of internet stock message boards The Journal of Finance LIX 3 2004 1259 1294 (Pubitemid 38799762)
4. R. Ball, S.P. Kothari, and R.L. Watts Economic determinants of the relation between earnings changes and stock returns The Accounting Review 68 1993 622 638
5. M. Beneish The detection of earnings manipulation Financial Analysts Journal 55 1999 24 36
6. E. Brill A simple rule-based part of speech tagger Proceedings of the Third Conference on Applied Natural Language Processing 1992 152 155 Trento, Italy.
7. P. Buitelaar, and B. Sacaleanu Extending synsets with medical terms Proceedings of the First International WordNet Conference, Mysore, India, January 21-25 2002
8. C.W. Choo Information Management for the Intelligent Organization: The Art of Scanning the Environment 1995 Information Today, Inc. Medford, NJ
9. N. Cristianini, and J. Shawe-Taylor An Introduction to Support Vector Machines and other Kernel-Based Learning Methods 2000 Cambridge University Press Cambridge, United Kingdom
10. S.R. Das, and M.Y. Chen Yahoo! For Amazon: Sentiment Extraction from Small Talk on the Web Management Science 53 9 2007 1375 1388
11. A.K. Davis, J.M. Piger, and L.M. Sedor "Beyond the Numbers: Managers' Use of Optimistic and Pessimistic Tone in Earnings Press Releases" AAA 2008 Financial Accounting and Reporting Section (FARS) Paper Available at SSRN: http://ssrn.com/abstract=875399 2008
12. Patricia M. Dechow, Weili Ge, Chad R. Larson, and Richard G. Sloan "Predicting Material Accounting Manipulations" AAA 2008 Financial Accounting and Reporting Section (FARS) Paper Available at SSRN: http://ssrn.com/abstract=997483 2007
13. John J. Gerdes EDGAR-Analyzer: automating the analysis of corporate data contained in the SEC's EDGAR database Decision Support Systems 35 2003 7 29
14. C. Goutte Note on free lunches and cross-validation Neural Computation 9 1997 1245 1249 (Pubitemid 127469146)
15. C. Holton Identifying disgruntled employee systems fraud risk through text mining: a simple solution for a multi-billion dollar problem Decision Support Systems 46 4 2009 853 864
16. D. Jurafsky, and J. Martin Speech and Language Processing 2000 Prentice-Hall, Inc. Upper Saddle River, NJ
17. L. Khan, and F. Luo Ontology Construction for Information Selection International Conference on Tools with Artificial Intelligence 2002 p. 122
18. D.D. Lewis, R.E. Schapire, J.P. Callan, and R. Papka Training algorithms for linear text classifiers Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 1996 298 306
19. Feng Li Do stock market investors understand the risk sentiment of corporate annual reports? University of Michigan Working Paper 2006
20. Feng Li Annual report readability, current earnings, and earnings persistence Journal of Accounting and Economics 45 2-3 2008 221 247
21. N. Li, and D.D. Wu Using text mining and sentiment analysis for online forums hotspot detection and forecast Decision Support Systems 48 2010 354 368
22. R.J.A. Little, and D.B. Rubin Statistical Analysis with Missing Data 1987 John Wiley & Sons New York
23. Andrew McCallum Bow: a toolkit for statistical language modeling, text retrieval, classification and clustering Working Paper, School of Computer Science, Carnegie-Mellon University 1996
24. Z. Ma, O. Sheng, and G. Pant Discovering company revenue relations from news: a network approach Decision Support Systems 47 2009 408 414
25. R. Navigli, and P. Velardi Automatic adaptation of WordNet to domains Proc. of 3rd International Conference on Language Resources and Evaluation, Las Palmas, Canary Island, Spain 2002
26. Princeton University, WordNet (2008) http://www.cogsci.princeton.edu/~wn/ index.shtml.
27. Z. Qu, H. Zhang, and H. Li Determinants of online merchant rating: content analysis of consumer comments about Yahoo merchants Decision Support Systems 46 2008 440 449
28. Sarkar, A., Computational linguistics (course notes), 2004, http://www.sfu.ca/anoop/courses/CMPT-413-Spring-2004/lexicalsem.pdf, January, 2005.
29. K. Sparck Jones A statistical interpretation of term specificity and its application in retrieval Journal of Documentation 28 1 1972 11 21
30. P. Tetlock Giving content to investor sentiment: the role of media in the stock market Journal of Finance 62 2007 1139 1168
31. P.C. Tetlock, S.-T. Maytal, and S. Macskassy More Than Words: Quantifying Language to Measure Firms' Fundamentals, Working Paper 2007
32. V. Vapnik Statistical Learning Theory 1995 Springer Verlag New York NY
33. C.P. Wei, and Y.H. Lee Event detection from online news documents for supporting environmental scanning Decision Support Systems 36 2004 385 401