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

fYear

2010

fDate

Nov. 29 2010-Dec. 1 2010

Firstpage

1101

Lastpage

1106

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on

Conference_Location

Cairo

Print_ISBN

978-1-4244-8134-7

Type

conf

DOI

10.1109/ISDA.2010.5687040

Filename

5687040