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17th International Conference on Database and Expert Systems Applications (DEXA'06)
Text Mining of Business News for Forecasting
Krakow, Poland
September 04-September 08
ISBN: 0-7695-2641-1
ASCII Text
x 
 
Petr Kroha, Ricardo Baeza-Yates, Bjorn Krellner, "Text Mining of Business News for Forecasting," Database and Expert Systems Applications, International Workshop on, pp. 171-175, 17th International Conference on Database and Expert Systems Applications (DEXA'06), 2006.
 
 
BibTex
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@article{ 10.1109/DEXA.2006.135,
author = {Petr Kroha and Ricardo Baeza-Yates and Bjorn Krellner},
title = {Text Mining of Business News for Forecasting},
journal ={Database and Expert Systems Applications, International Workshop on},
volume = {0},
year = {2006},
issn = {1529-4188},
pages = {171-175},
doi = {http://doi.ieeecomputersociety.org/10.1109/DEXA.2006.135},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Database and Expert Systems Applications, International Workshop on
TI - Text Mining of Business News for Forecasting
SN - 1529-4188
SP171
EP175
A1 - Petr Kroha,
A1 - Ricardo Baeza-Yates,
A1 - Bjorn Krellner,
PY - 2006
KW - null
VL - 0
JA - Database and Expert Systems Applications, International Workshop on
ER -
 
Petr Kroha, University of Technology, Germany
Ricardo Baeza-Yates, Universidad de Chile, Chile
Bjorn Krellner, University of Technology, Germany
In this paper, we analyze the relation between the content of business news and long-term market trends. We describe cleansing and classification of business news, we investigate how much similarity good news and bad news have, and how their ratio behaves in context of long-terms market trends. We have processed more than 400 thousand business news coming from the years 1999 to 2005. We present results of our experiments and their possible impact on forecasting of long-term market trends.
Citation:
Petr Kroha, Ricardo Baeza-Yates, Bjorn Krellner, "Text Mining of Business News for Forecasting," dexa, pp.171-175, 17th International Conference on Database and Expert Systems Applications (DEXA'06), 2006
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