Financial Forecasting Using Character N-Gram Analysis and Readability Scores of Annual Reports

Author:

Butler Matthew,Kešelj Vlado

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Keselj, V., Peng, F., Cercone, N., Thomas, C.: N-gram-based author profiles for authorship attribution. In: Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING 2003, Dalhousie University, Halifax, Nova Scotia, Canada, pp. 255–264 (August 2003)

2. Falinouss, P.: Stock trend prediction using news articles. Master’s thesis, Lulea University of Technology (2007) ISSN 1653-0187

3. Schumaker, R., Chen, H.: Textual analysis of stock market prediction using financial news articles. In: Proc. from the America’s Conf. on Inform. Systems (2006)

4. Mittermayer, M.: Forecasting intraday stock price trends with text mining techniques. In: Proc. of the 37th Hawaii Int’nal Conf. on System Sciences (2004)

5. Kloptchenko, A., Magnusson, C., Back, B., Vanharanta, H., Visa, A.: Mining textual contents of quarterly reports. Technical Report No. 515, TUCS (May 2002) ISBN 952-12-1138-5

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