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- Title
New approach for Arabic named entity recognition on social media based on feature selection using genetic algorithm.
- Authors
Benali, Brahim Ait; Mihi, Soukaina; Bazi, Ismail El; Laachfoubi, Nabil
- Abstract
Many features can be extracted from the massive volume of data in different types that are available nowadays on social media. The growing demand for multimedia applications was an essential factor in this regard, particularly in the case of text data. Often, using the full feature set for each of these activities can be time-consuming and can also negatively impact performance. It is challenging to find a subset of features that are useful for a given task due to a large number of features. In this paper, we employed a feature selection approach using the genetic algorithm to identify the optimized feature set. Afterward, the best combination of the optimal feature set is used to identify and classify the Arabic named entities (NEs) based on suppo1t vector. Experimental results show that our system reaches a state-ofthe- a1t perfonnance of the Arab NER on social media and significantly outperfonns the previous systems.
- Subjects
GENETIC algorithms; FEATURE selection; SOCIAL media; SUPPORT vector machines
- Publication
International Journal of Electrical & Computer Engineering (2088-8708), 2021, Vol 11, Issue 2, p1485
- ISSN
2088-8708
- Publication type
Article
- DOI
10.11591/ijece.v11i2.pp1485-1497