Investigating the Impact of Utilizing the ChatGPT for Arabic Sentiment Analysis
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-59711-4_9
Reference21 articles.
1. Kadaoui, K., et al.: TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties. arXiv preprint arXiv:2308.03051 (2023)
2. Ray, P.P.: ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet Things Cyber-Phys. Syst. (2023)
3. Al-Shalabi, A.A., Al-Gaphari, G., Salah, A.H., Alqasemi, F.: Investigating the impact of utilizing the K-nearest neighbor and levenshtein distance algorithms for Arabic sentiment analysis on mobile applications. JAST 1(2) (2023)
4. Al-Hagree, S., Al-Gaphari, G.: Arabic sentiment analysis based machine learning for measuring user satisfaction with banking services’ mobile applications: comparative study. In: 2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA), pp. 1–4. IEEE (2022)
5. Al-Hagree, S., Al-Gaphari, G.: Arabic sentiment analysis on mobile applications using levenshtein distance algorithm and naive bayes. In: 2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA), pp. 1–6. IEEE ,(2022)
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