Scanning World Wide Web Documents with the Vector Space Model
Document Type
Article
Publication Date
2006
Publication Title
Decision Support Systems
DOI
10.1016/j.dss.2005.03.002
ISSN
0167-9236
Abstract
The vector space model used in Information Retrieval is combined with discriminant analysis to provide an automated WWW environment scanning system to detect signals of interest to an organization. The vector space model converts text-based information to numerical vectors that are then used in discriminant analysis. We illustrate the methodology using news articles pertaining to a predefined randomly selected set of stocks to test whether they provide predictive signals on whether the stock's return will increase or decrease relative to the market in the target period following the report or whether the stock's trading volume will increase or decrease.
Recommended Citation
Aasheim, Cheryl L., Gary J. Koehler.
2006.
"Scanning World Wide Web Documents with the Vector Space Model."
Decision Support Systems, 42 (2): 690-699: Association for Computing Machinery.
doi: 10.1016/j.dss.2005.03.002 source: 10.1016/j.dss.2005.03.002
https://digitalcommons.georgiasouthern.edu/information-tech-facpubs/131
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