Global Journal of Computer Science and Technology, G: Interdisciplinary, Volume 23 Issue 1

Emotion Detection in Arabic Text using Machine Learning Methods © 2023 Global Journals Global Journal of Computer Science and Technology Volume XXIII Issue I Version I 20 ( ) Year 2023 G R eferences R éférences R eferencias 1. Mansy, A., Rady, S., Gharib, T. (2022). An Ensemble Deep Learning Approach for Emotion Detection in Arabic Tweets. International Journal of Advanced Computer Science and Applications, 13(4). 2. Khalil, E. A. H., El Houby, E. M., Mohamed, H. K. (2021). Deep learning for emotion analysis in Arabic tweets. Journal of Big Data, 8(1), 1-15. 3. Elfaik, H. (2021). Combining Context-Aware Embeddings and an Attentional Deep Learning Model for Arabic Affect Analysis on Twitter. IEEE Access, 9, 111214-111230. 4. Alswaidan, N., Menai, M. E. B. (2020). Hybrid feature model for emotion recognition in Arabic text. IEEE Access, 8, 37843-37854. 5. AlZoubi, O., Tawalbeh, S. K., Mohammad, A. S. (2020). Affect detection from arabic tweets using ensemble and deep learning techniques. Journal of King Saud University-Computer and Information Sciences. 6. Hussein, A., Al Kafri, M., Abonamah, A. A., Tariq, M. U. (2020). Mood Detection Based on Arabic Text Documents using Machine Learning Methods. International Journal, 9(4). 7. Saad M. M., Jamil, N., Hamzah, R. (2018). Evaluation of support vector machine and decision tree for emotion recognition of malay folklores. Bulletin of Electrical Engineering and Informatics, 7(3), 479-486. 8. Hegazi, M. O., Al-Dossari, Y., Al-Yahy, A., Al-Sumari, A., Hilal, A. (2021). Preprocessing Arabic text on social media. Heliyon, 7(2), e06191. 9. Nandwani, P., Verma, R. (2021). A review on sentiment analysis and emotion detection from text. Social Network Analysis and Mining, 11(1), 1-19. 10. Boudad, N., Faizi, R., Thami, R. O. H., Chiheb, R. (2018). Sentiment analysis in Arabic: A review of the literature. Ain Shams Engineering Journal, 9(4), 2479-2490. 11. Singh, G., Kumar, B., Gaur, L., Tyagi, A. (2019, April). Comparison between multinomial and Bernoulli na¨ıve Bayes for text classification. In 2019 International Conference on Automation, Computational and Technology Management (ICACTM) (pp. 593-596). IEEE. 12. Rahat, A. M., Kahir, A., Masum, K. M. (2019, November). Comparison of Naive Bayes and SVM Algorithm based on sentiment analysis using review dataset. In 2019 8th International Conference System Modeling and Advancement in Research Trends (SMART) (pp. 266-270). IEEE. 13. Saad, M. M., Jamil, N., Hamzah, R. (2018). Evaluation of support vector machine and decision tree for emotion recognition of malay folklores. Bulletin of Electrical Engineering and Informatics, 7(3), 479-486.