@inproceedings{lee-etal-2014-importance,
title = "On the Importance of Text Analysis for Stock Price Prediction",
author = "Lee, Heeyoung and
Surdeanu, Mihai and
MacCartney, Bill and
Jurafsky, Dan",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/1065_Paper.pdf",
pages = "1170--1175",
abstract = "We investigate the importance of text analysis for stock price prediction. In particular, we introduce a system that forecasts companies stock price changes (UP, DOWN, STAY) in response to financial events reported in 8-K documents. Our results indicate that using text boosts prediction accuracy over 10{\%} (relative) over a strong baseline that incorporates many financially-rooted features. This impact is most important in the short term (i.e., the next day after the financial event) but persists for up to five days.",
}
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%0 Conference Proceedings
%T On the Importance of Text Analysis for Stock Price Prediction
%A Lee, Heeyoung
%A Surdeanu, Mihai
%A MacCartney, Bill
%A Jurafsky, Dan
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F lee-etal-2014-importance
%X We investigate the importance of text analysis for stock price prediction. In particular, we introduce a system that forecasts companies stock price changes (UP, DOWN, STAY) in response to financial events reported in 8-K documents. Our results indicate that using text boosts prediction accuracy over 10% (relative) over a strong baseline that incorporates many financially-rooted features. This impact is most important in the short term (i.e., the next day after the financial event) but persists for up to five days.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/1065_Paper.pdf
%P 1170-1175
Markdown (Informal)
[On the Importance of Text Analysis for Stock Price Prediction](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1065_Paper.pdf) (Lee et al., LREC 2014)
ACL
- Heeyoung Lee, Mihai Surdeanu, Bill MacCartney, and Dan Jurafsky. 2014. On the Importance of Text Analysis for Stock Price Prediction. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 1170–1175, Reykjavik, Iceland. European Language Resources Association (ELRA).