Psychological Behavior Prediction through Sentiment Analysis Technics: Transformers and ML Approach

Journal of computer sciences

article

Maryame Naji¹  Najima Daoudi²  Rachida Ajhoun¹ 

[1] Smart Systems Laboratory, ENSIAS, Mohammed V University;Lyrica Laboratory, School of Information Sciences

关键词: Machine Learning;    Deep Learning;    Sentiment Analysis;    Electra;    Bert;    COVID-19;    Depression Prediction;   

DOI  :  10.3844/jcssp.2022.832.840

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

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.

【 授权许可】

CC BY