Machine Learning-Based Approach to Analyze Sentiments on Moroccan Higher Education Through Twitter

Author:

Lasri ImaneORCID,El-Marzouki NaoufalORCID,Riadsolh Anouar,Elbelkacemi Mourad

Publisher

Springer Nature Singapore

Reference22 articles.

1. Sydney M, Dulosa S, Inocian R, Bokeron M, Moneva J (2021) Perception of students towards education. Int J Novel Res Educ Learn 6(1):35–45

2. Kartal S, Yirci R, Ozdemir T (2015) Teachers’, parents’, and students’ perceptions regarding the problems in Turkey’s national education system: a qualitative study. Euro J Educ Stud 7

3. Mouronte-López M, Ceres J, Columbrans A (2023) Analyzing the sentiments about the education system through Twitter. Educ Inf Technol 28:10965–10994

4. Cheeti S (2021) Twitter-based sentiment analysis of the impact of COVID-19 on education globally. Int J Artif Intell Appl (IJAIA) 12(3)

5. McCallum A, Nigam K (1998) A comparison of event models for Naive Bayes text classification. Technical report, American Association for Artificial Intelligence workshop on learning for text categorization

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