John, D., Boucouvalas, A. C. and Xu, Z., 2006. The Development of an Emotion Analyser that Measures the Mood of the Stock Market. In: TEMU 2006: International Conference on Telecommunications & Multimedia, 5-7 July 2006, Heraklion Crete.
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This article reports on an Emotion Analyser, a new application based on our text-to-emotion engine, which identifies emotion contained in news articles. In addition the link between the detected emotion and the future movements of the Stock Market value are investigated. The text-to-emotion engine can automatically analyse sentences input by the user and identifies the emotional content. The Emotion Analyser has been adapted to analyse Stock Market newspaper articles by searching for words that indicate the "mood" of the market. An experiment that compared the emotions identified in articles about the Stock Market to the next day’s Stock Market prices is described. The conditions in which a significant correlation can be found between the movement of the "mood" of the market and the movement of the next day's Stock Market index value are identified.
|Item Type:||Conference or Workshop Item (Paper)|
|Subjects:||Generalities > Computer Science and Informatics|
|Group:||School of Design, Engineering & Computing > Creative Technology Research Group|
|Deposited By:||Dr David John|
|Deposited On:||13 Jul 2009 19:01|
|Last Modified:||07 Mar 2013 15:10|
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