Evaluating and understanding text-based stock price prediction models-Reference-Cited by-同舟云学术

Evaluating and understanding text-based stock price prediction models

Published:2014-03 Issue:2 Volume:50 Page:426-441
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Junqué de Fortuny Enric,De Smedt Tom,Martens David,Daelemans Walter

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference36 articles.

1. Balahur, A., Steinberger, R., Kabadjov, M., Zavarella, V., van der Goot, E., Halkia, M., Pouliquen, B., & Belyaeva, J. (2010). Sentiment analysis in the news. In Proceedings of the seventh international conference on language resources and evaluation (LREC’10).

2. Investments;Bodie,2008

3. Twitter mood predicts the stock market;Bollen;Journal of Computational Science,2011

4. Breiman, L., Friedman, J., Stone, C., & Olshen, R. (1984). Classification and regression trees.

5. An overview and framework for PD backtesting and benchmarking;Castermans;Journal of the Operational Research Society,2010

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