Evaluation of Text Classification Algorithms for a Web-based Market Data Warehouse
نویسندگان
چکیده
Decision makers in enterprises cannot handle information flooding without serious problems. A market data information system (MAIS), which is the foundation of a decision support system for German energy trading, uses search and filter components to provide decision-relevant information from Web-documents for enterprises. The already implemented filter component in form of a Multilayer Perceptron has to be benchmarked against different existing algorithms to enhance the classification of text documents. An evaluation environment with appropriate algorithms is developed for this purpose. Also a set of test data is provided and a tool selection is shown which implement different text mining algorithms for classification. The benchmark results will be shown in the paper.
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