Sept. 4, 2006 to Sept. 8, 2006
Petr Kroha , University of Technology, Germany
Ricardo Baeza-Yates , Universidad de Chile, Chile
Bjorn Krellner , University of Technology, Germany
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DEXA.2006.135
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.
Petr Kroha, Ricardo Baeza-Yates, Bjorn Krellner, "Text Mining of Business News for Forecasting", DEXA, 2006, 2012 23rd International Workshop on Database and Expert Systems Applications, 2012 23rd International Workshop on Database and Expert Systems Applications 2006, pp. 171-175, doi:10.1109/DEXA.2006.135