Methods for Assessing the Psychological Tension of Social Network Users during the Coronavirus Pandemic and Its Uses for Predictive Analysis

This article address approaches to the development of methods for assessing psychological state social network members during coronavirus pandemic through sentiment analysis messages. The purpose work is determine tension index by using a previously developed thematically ranked dictionary. Researchers have investigated evaluate among users and forecast distress. approach novel in sense that it ranks emojis mood, considering both emotional tone tweets emoji’s dictionary meanings. A method proposed assess dynamics as an indicator their subjective well-being, develop targeted interventions help. Based on ranking Emotional Vocabulary Index (EVI) Subjective Well-being (SWI), scheme predict tension. significance lies efficient assessment fluctuations mental wellness indication emotions prerequisite further predictive analysis. findings gave computed value EVI 306.15 April 2022. prediction accuracy 88.75% was achieved.