TY  - JOUR
AU  - Naji, Maryame 
AU  - Daoudi, Najima 
AU  - Ajhoun, Rachida 
PY  - 2022
TI  - Psychological Behavior Prediction through Sentiment Analysis Technics: Transformers and ML Approach
JF  - Journal of Computer Science
VL  - 18
IS  - 9
DO  - 10.3844/jcssp.2022.832.840
UR  - https://thescipub.com/abstract/jcssp.2022.832.840
AB  - In the era of the COVID-19 epidemic, governmentshave imposed nationwide lockdowns, which make a huge change to people&#039;s dailyroutines. This last impacts indirectly the well-being of people&#039;s mentalhealth. And due to social media, many conversations about these phenomena occuronline, especially those related to people&#039;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&#039; 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.&nbsp;&nbsp;