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Arabic Opinion Mining System For E-Services Based on Ontology and Machine Learning

Article scientifique 2023 Anglais

Résumé

Abstract With the growing use of E-Services in the Arab world, there is a need for efficient methods to analyze customer feedback and opinions. This research is proposing an Arabic opinion mining system for E-Services based on ontology and machine learning techniques. The system utilizes an Arabic ontology to capture domain-specific vocabulary and relationships between features and a machine learning model to classify customer feedback into positive, negative, or neutral sentiments. By evaluating the performance of the system using several domains datasets for Arabic customer reviews of various e-services, and the results show that the system achieves a high accuracy level. Comparing the performance of the proposed system to traditional polarity and subjectivity approaches

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Mansour, M. (2023). Arabic Opinion Mining System For E-Services Based on Ontology and Machine Learning. https://doi.org/10.21203/rs.3.rs-3245588/v1

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Auteur(s)

Maha Mansour

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