BFCI at AraFinNLP2024: Support Vector Machines for Arabic Financial Text Classification

Nsrin Ashraf, Hamada Nayel, Mohammed Aldawsari, H. L. Shashirkha, Tarek Elshishtawy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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’s result is appropriate compared to the simplicity of the proposed model’s structure.

Original languageEnglish
Title of host publicationArabicNLP 2024 - 2nd Arabic Natural Language Processing Conference, Proceedings of the Conference
EditorsNizar 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
PublisherAssociation for Computational Linguistics (ACL)
Pages446-449
Number of pages4
ISBN (Electronic)9798891761322
StatePublished - 2024
Event2nd Arabic Natural Language Processing Conference, ArabicNLP 2024 - Bangkok, Thailand
Duration: 16 Aug 2024 → …

Publication series

NameArabicNLP 2024 - 2nd Arabic Natural Language Processing Conference, Proceedings of the Conference

Conference

Conference2nd Arabic Natural Language Processing Conference, ArabicNLP 2024
Country/TerritoryThailand
CityBangkok
Period16/08/24 → …

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