Tweet Trends and Emotional Reactions: A Comprehensive Sentiment Analysis of Twitter Responses to the Earthquake in Turkey and Syria

Abstract

This research article examines emotional responses to the earthquake in Turkey and Syria using Twitter data. The study utilizes NRCLex classification for experiment-wise emotion analysis, binary sentiment analysis with Transformers , and experiment-wise sentiment counts with percentages using Vader. The results indicate a prevalence of negative emotions and consistent levels of positive emotions across the experiments, revealing the dynamic nature of emotional responses. The findings have important implications for disaster management and public health policies, highlighting the need to address the negative emotional impact of natural disasters. Further research is required to deepen our understanding of emotional responses and develop targeted interventions for affected communities. This study contributes to the existing knowledge on emotions during natural disasters, informing policy and intervention strategies.