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Multi-way Arabic Sentiment Classification Using Genetic Algorithm and Logistic Regression

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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) (AICV 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1377))

Abstract

Sentiment analysis has become a promising field, given its importance to support decision-making in many areas. It is winning its popularity from the abundance of data accessible through web2.0 and social networks. Our study focuses on the Arabic language considering its high penetration rate and its huge growth on the internet. We treat data from Twitter to categorize sentiments into multiple classes. To this end, we are proposing an innovative model based on multinomial logistic Regression using a Genetic Algorithm to select the most relevant features for our task. Our model performs very well as it exceeds the state-of-the-art accuracy measures.

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Author information

Authors and Affiliations

  1. IR2M Laboratory, University Hassan 1st, Settat, Morocco

    Soukaina Mihi, Brahim Ait Ben Ali & Nabil Laachfoubi

  2. Systems Engineering Laboratory, Sultan Moulay Slimane University, Beni Mellal, Morocco

    Ismail El Bazi

  3. MISI Laboratory, University Hassan 1st, Settat, Morocco

    Sara Arezki

Authors
  1. Soukaina Mihi
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  2. Brahim Ait Ben Ali
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  3. Ismail El Bazi
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  4. Sara Arezki
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  5. Nabil Laachfoubi
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Corresponding author

Correspondence to Soukaina Mihi .

Editor information

Editors and Affiliations

  1. Information Technology Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. School of Medicine, University of Missouri, Columbia, MO, USA

    Peter J. Tonellato

  4. ISAE-ENSMA, Futuroscope Chasseneuil Cedex, France

    Ladjel Bellatreche

  5. British University Vietnam, Hung Yen, Vietnam

    Sam Goundar

  6. Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt

    Ahmad Taher Azar

  7. NEST Research Group, ENSEM, Hassan II University of Casablanca, Casablanca, Morocco

    Essaid Sabir

  8. High National School for Computer Science and Systems Analysis (ENSIAS), Mohammed V University, Rabat, Morocco

    Driss Bouzidi

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Mihi, S., Ben Ali, B.A., El Bazi, I., Arezki, S., Laachfoubi, N. (2021). Multi-way Arabic Sentiment Classification Using Genetic Algorithm and Logistic Regression. In: Hassanien, A.E., et al. Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021). AICV 2021. Advances in Intelligent Systems and Computing, vol 1377. Springer, Cham. https://doi.org/10.1007/978-3-030-76346-6_29

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