Financial events detection by conceptual news categorization
| Author | Al-Jaoua, Ali |
| Author | Al'Jaam, Jihad |
| Author | Hammami, Helmi |
| Author | Ferjani, Fethi |
| Author | Laban, Firas |
| Author | Sammar, Nasredine |
| Author | Essafi, Hassane |
| Author | Elloumi, Samir |
| Available date | 2024-03-20T01:55:08Z |
| Publication Date | 2010 |
| Publication Name | Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 |
| Resource | Scopus |
| 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. |
| Language | en |
| Publisher | IEEE |
| Subject | Categorization Conceptual methods Event identification Financial watch Indexing |
| Type | Conference Paper |
| Pagination | 1101-1106 |
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Computer Science & Engineering [2402 items ]