Title :
Financial events detection by conceptual news categorization
Author :
Al-Jaoua, Ali ; Jaam, Jihad Al ; Hammami, Helmi ; Ferjani, Fethi ; Laban, Firas ; Sammar, Nasredine ; Essafi, Hassane ; Elloumi, Samir
Author_Institution :
Qatar Univ., Doha, Qatar
fDate :
Nov. 29 2010-Dec. 1 2010
Abstract :
In the scope of Financial Watch project, several targeted events have been required by contacted users in banking and investment domains. Financial news are classified with respect of the list of desired events. In this paper, a conceptual approach for indexing short English news in the financial domain is presented. By using a supervised original learning approach, a categorization method is proposed. Experimentation of the method on a sample of news showed that in almost all cases, occurrences of the right events in each document have been recognized, with respect to a corpus on the financial domain.
Keywords :
banking; financial data processing; indexing; investment; learning (artificial intelligence); English news; Financial Watch project; banking; categorization method; conceptual news categorization; financial events detection; indexing; investment; supervised original learning approach; Conceptual methods; categorization; event identification; financial watch; indexing;
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-8134-7
DOI :
10.1109/ISDA.2010.5687040
