BFCI at AraFinNLP2024: Support Vector Machines for Arabic Financial Text Classification
Nsrin Ashraf, Hamada Nayel, Mohammed Aldawsari, Hosahalli Shashirekha, Tarek Elshishtawy
Abstract
In this paper, a description of the system submitted by BFCAI team to the AraFinNLP2024 shared task has been introduced. Our team participated in the first subtask, which aims at detecting the customer intents of cross-dialectal Arabic queries in the banking domain. Our system follows the common pipeline of text classification models using primary classification algorithms integrated with basic vectorization approach for feature extraction. Multi-layer Perceptron, Stochastic Gradient Descent and Support Vector Machines algorithms have been implemented and support vector machines outperformed all other algorithms with an f-score of 49%. Our submission’s result is appropriate compared to the simplicity of the proposed model’s structure.- Anthology ID:
- 2024.arabicnlp-1.42
- Volume:
- Proceedings of The Second Arabic Natural Language Processing Conference
- Month:
- August
- Year:
- 2024
- Address:
- Bangkok, Thailand
- Editors:
- Nizar Habash, Houda Bouamor, Ramy Eskander, Nadi Tomeh, Ibrahim Abu Farha, Ahmed Abdelali, Samia Touileb, Injy Hamed, Yaser Onaizan, Bashar Alhafni, Wissam Antoun, Salam Khalifa, Hatem Haddad, Imed Zitouni, Badr AlKhamissi, Rawan Almatham, Khalil Mrini
- Venues:
- ArabicNLP | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 446–449
- Language:
- URL:
- https://aclanthology.org/2024.arabicnlp-1.42
- DOI:
- Cite (ACL):
- Nsrin Ashraf, Hamada Nayel, Mohammed Aldawsari, Hosahalli Shashirekha, and Tarek Elshishtawy. 2024. BFCI at AraFinNLP2024: Support Vector Machines for Arabic Financial Text Classification. In Proceedings of The Second Arabic Natural Language Processing Conference, pages 446–449, Bangkok, Thailand. Association for Computational Linguistics.
- Cite (Informal):
- BFCI at AraFinNLP2024: Support Vector Machines for Arabic Financial Text Classification (Ashraf et al., ArabicNLP-WS 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.arabicnlp-1.42.pdf