@inproceedings{d88b50a38dd54d128274e01c38d68a76,
title = "BFCI at AraFinNLP2024: Support Vector Machines for Arabic Financial Text Classification",
abstract = "In this paper, a description of the system submitted by BFCAI team to the AraFinNLP 2024 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{\textquoteright}s result is appropriate compared to the simplicity of the proposed model{\textquoteright}s structure.",
author = "Nsrin Ashraf and Hamada Nayel and Mohammed Aldawsari and Shashirkha, \{H. L.\} and Tarek Elshishtawy",
note = "Publisher Copyright: {\textcopyright}2024 Association for Computational Linguistics.; 2nd Arabic Natural Language Processing Conference, ArabicNLP 2024 ; Conference date: 16-08-2024",
year = "2024",
language = "English",
series = "ArabicNLP 2024 - 2nd Arabic Natural Language Processing Conference, Proceedings of the Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "446--449",
editor = "Nizar Habash and Houda Bouamor and Ramy Eskander and Nadi Tomeh and Farha, \{Ibrahim Abu\} and Ahmed Abdelali and Samia Touileb and Injy Hamed and Yaser Onaizan and Bashar Alhafni and Wissam Antoun and Salam Khalifa and Hatem Haddad and Imed Zitouni and Badr AlKhamissi and Rawan Almatham and Khalil Mrini",
booktitle = "ArabicNLP 2024 - 2nd Arabic Natural Language Processing Conference, Proceedings of the Conference",
address = "Australia",
}