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Authors: P. Kroha and T. Reichel

Affiliation: TU Chemnitz, Germany

ISBN: 978-972-8865-89-4

Keyword(s): Text mining, text classification, grammars, natural language, stock exchange news, market forecast.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Group Decision Support Systems ; Strategic Decision Support Systems

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.

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Paper citation in several formats:
Kroha P.; Reichel T. and (2007). USING GRAMMARS FOR TEXT CLASSIFICATION.In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-972-8865-89-4, pages 259-264. DOI: 10.5220/0002406302590264

@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 1: ICEIS,},
year={2007},
pages={259-264},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002406302590264},
isbn={978-972-8865-89-4},
}

TY - CONF

JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: 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

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