Sentiment analysis and emotion detection of post-COVID educational Tweets: Jordan case

Author:

Qaqish Evon,Aranki Aseel,Etaiwi Wael

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Reference47 articles.

1. Aditya DS (2021) Embarking digital learning due to COVID-19: are teachers ready? J Technol Sci Educ 11(1):104–116

2. Ali MM (2021) Arabic sentiment analysis about online learning to mitigate COVID-19. J Intell Syst 30(1):524–540

3. Almotiri SD (2022) Twitter sentiment analysis during the lockdown on New Zealand. Int J Comput Inf Eng 15(12):649–654

4. Althagafi A, Althobaiti G, Alhakami H, Alsubait T (2021) Arabic tweets sentiment analysis about online learning during COVID-19 in Saudi Arabia. The Science and Information Organization. Int J Adv Comput Sci Appl 12(3)

5. Altszyler E, Sigman M, Ribeiro S, Slezak DF (2016) Comparative study of lsa vs word2vec embeddings in small corpora: a case study in dreams database. arXiv preprint arXiv:1610.01520

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1. Negative emotion detection on social media during the peak time of COVID-19 through deep learning with an auto-regressive transformer;Engineering Applications of Artificial Intelligence;2024-01

2. Emotion Detection and Suicidal Intention Prediction of Differently Depressed Individuals Using Machine Learning Techniques;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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