Financial events detection by conceptual news categorization

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 do...

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Bibliographic Details
Main Authors: Al-Jaoua, Ali, Al'Jaam, J, Hammami, H, Ferjani, F, Laban, F, Sammar, N, Essafi, H, Elloumi, S
Format: Conference Proceeding
Language:English
Subjects:
categorization
Companies
Conceptual methods
Context
event identification
financial watch
Indexing
Intelligent systems
Supervised learning
Training
Online Access:Request full text
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Summary: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.
ISSN:2164-7143
2164-7151
DOI:10.1109/ISDA.2010.5687040