Abstract
This paper presents an application of text mining to support Competitive Intelligence (CI). A case study was built using the ETO System, which enables trade-related bodies to exchange information by e-mail. As this information is available in textual formats, we used text-mining tools to support the CI process. The strategy uses domain knowledge to extract concepts from the texts. A mining tool searches for patterns in concept distributions and correlations, aiding the identification of strategic information. The main contribution of the paper is the use of an inexpensive strategy to allow a competitive advantage to Small and Medium Enterprises with minimal cost. © Springer-Verlag 2004.
Cite
CITATION STYLE
De Oliveira, J. P. M., Loh, S., Wives, L. K., Scarinci, R. G., Musa, D., Silva, L., & Zambenedetti, C. (2004). Applying text mining on electronic messages for competitive intelligence. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3182, 277–286. https://doi.org/10.1007/978-3-540-30077-9_28
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