Abstract:
Natural disasters, pandemics, and social unrest are examples of crises that persistently
endanger our planet and have a profound emotional impact on millions of people
worldwide. We face various challenges in Bangladesh, including the Russia-Ukraine
conflict, Israel-Hamas, and the COVID-19 epidemic conflict. These global issues have
had a significant impact on the country’s economy and have contributed to worldwide
inflation. Sentiment analysis using machine learning can provide a fast and accurate
alternative to traditional polls for understanding public political opinions. The paper
aims to analyze the mental state of the country’s youth in light of these events and to
quantify the economic impact of these conflicts. This research investigates the socioeconomic and psychological impacts of the COVID-19 pandemic, the Russia-Ukraine
war, and the Israel-Hamas conflict on Bangladesh, with a particular focus on the
country’s youth. The study reveals that these global crises have significantly affected
Bangladesh’s economy, leading to increased inflation rates and economic instability.
The research employs various machine learning models to analyze the sentiment of the
young population towards these events, using data collected through a comprehensive
survey. The findings highlight the profound effects of these crises on the mental health
of the youth, providing valuable insights for policymakers and stakeholders. The study
underscores the need for robust strategies to mitigate the adverse effects of such global
crises on developing economies like Bangladesh. The research contributes to the
existing literature by offering a unique perspective on the socio-psychological impacts
of global crises on a developing country.
