USING GRAMMARS FOR TEXT CLASSIFICATION

P. Kroha, T. Reichel

Abstract

In this contribution we present our experiments with using grammars for text classification. Approaches usually used are based on statistical methods working with term frequency. We investigate short texts (stock exchange news) more deeply in that we analyze the structure of sentences and context of used phrases. Results are used for predicting market movements coming from the hypotheses that news move markets.

References

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Paper Citation


in Harvard Style

Kroha P. and Reichel T. (2007). USING GRAMMARS FOR TEXT CLASSIFICATION . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-89-4, pages 259-264. DOI: 10.5220/0002406302590264


in Bibtex Style

@conference{iceis07,
author={P. Kroha and T. Reichel},
title={USING GRAMMARS FOR TEXT CLASSIFICATION},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2007},
pages={259-264},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002406302590264},
isbn={978-972-8865-89-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - USING GRAMMARS FOR TEXT CLASSIFICATION
SN - 978-972-8865-89-4
AU - Kroha P.
AU - Reichel T.
PY - 2007
SP - 259
EP - 264
DO - 10.5220/0002406302590264