Abstract
Recognizing current and future developments in the business environment is a major challenge in business planning. Although modern information retrieval (IR) technologies become more and more available in terms of commercial software, sophisticated technologies are rarely applied in environmental scanning. Moreover, modern text classification methodologies are being applied separately rather than being linked with other IR approaches to gain a substantial surplus in managerial information assessment. In this paper we combine the Hierarchically Growing Hyperbolic SOM with the Information Foraging Theory for an appraisal and selection of relevant documents. We demonstrate this approach in detecting important up-and-coming developments in the business environment using a stream of documents from a newsletter service for the hospitality industry.
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Wagner, R., Ontrup, J., Scholz, S. (2009). Event Detection in Environmental Scanning. In: Gaul, W., Bock, HH., Imaizumi, T., Okada, A. (eds) Cooperation in Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00668-5_17
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DOI: https://doi.org/10.1007/978-3-642-00668-5_17
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