作者: Marc-andre Mittermayer , Gerhard Knolmayer
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摘要: NewsCATS is an Automated Text Categorization (ATC) prototype using a hand-made thesaurus to forecast intraday stock price trends from information contained in press releases. Due unique labeling approach and by carefully selecting the appropriate training data News- CATS achieves performance which clearly superior other ATC prototypes used for trend forecasting. In this paper we describe architecture, training, testing of as well results extensive robustness analysis.