Psychological Behavior Prediction through Sentiment Analysis Technics: Transformers and ML Approach
Maryame Naji1, Najima Daoudi2 & Rachida Ajhoun1 Show affiliations
- Smart Systems Laboratory, ENSIAS, Mohammed V University, Rabat, Morocco
- Lyrica Laboratory, School of Information Sciences, Rabat, Morocco
Journal of Computer Science, Volume 18, Issue 9, pp. 832–840 · doi.org/10.3844/jcssp.2022.832.840
Abstract
In the era of the COVID-19 epidemic, governmentshave imposed nationwide lockdowns, which make a huge change to people's dailyroutines. This last impacts indirectly the well-being of people's mentalhealth. And due to social media, many conversations about these phenomena occuronline, especially those related to people's emotions. Which brought challengesand opportunities for sentiment analysis researchers. In this article, we areinterested in extracting correlations between this epidemic and itspsychological effects by analyzing users' tweets through common Deep Learningand Machine Learning approaches used for text classification. This last goal isa crucial step to fulfill the main objective of our research: Developing anintelligent system that provides recommendations such as positive support andearly alert to help people in case of specific needs particularly challengingmental states.
Licence and reuse
Open access. This article is licensed under a Creative Commons Attribution 4.0 International Licence (CC BY 4.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
How to reuse this articleResponses (0)
About this article
Naji, M., Daoudi, N. & Ajhoun, R. (2022). Psychological Behavior Prediction through Sentiment Analysis Technics: Transformers and ML Approach. Journal of Computer Science, 18(9), 832–840. https://doi.org/10.3844/jcssp.2022.832.840
- Licence
- CC BY 4.0
- Issue
- Volume 18, Issue 9
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record
