A new sentiment analysis method to detect and Analyse sentiments of Covid-19 moroccan tweets using a recommender approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-14514-x.pdf
Reference22 articles.
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2. Chakraborty K, Bhatia S, Bhattacharyya S, Platos J, Bag R, Hassanien AE (2020) Sentiment analysis of COVID-19 tweets by deep learning classifiers—a study to show how popularity is affecting accuracy in social media, Applied Soft Computing 97 Part A
3. Das S, Dutta A (2020) Characterizing public emotions and sentiments in COVID-19 environment: a case study of India. J Hum Behav Soc Environ. https://doi.org/10.1080/10911359.2020.1781015
4. de las Heras-Pedrosa C, Sánchez-Núñez P, Peláez JI (2020) Sentiment analysis and emotion understanding during the COVID-19 pandemic in Spain and its impact on digital ecosystems. Int J Environ Res Public Health 17(15):5542. https://doi.org/10.3390/ijerph17155542
5. Hung M, Lauren E, Hon ES, Birmingham WC, Xu J, Su S, Hon SD, Park J, Dang P (2020) Lipsky MS social network analysis of COVID-19 aentiments: application of artificial intelligence. J Med Internet Res 22(8):e22590
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