Social Media Sentiment Analysis for Solar Eclipse with Text Mining

Abstract

This study investigated public sentiment and emotional reactions to the Partial Solar Eclipse that occurred on October 25, 2022, by analyzing Twitter data. By leveraging text mining techniques and sentiment analysis, the research aims to understand individuals' diverse emotions and perspectives in response to this natural event. Tweets related to the solar eclipse were collected, preprocessed, and analyzed using different sentiment analysis libraries, including NRC and Bing, to identify positive and negative emotions associated with the event. Results revealed that 75% of the analyzed tweets were positive, indicating that most users had a favorable view of the solar eclipse, associating it with new beginnings and change. In contrast, fewer individuals expressed negative emotions, linking the event to potential harm or divine punishment. The study demonstrates the value of sentiment analysis in understanding public sentiment and emotional reactions to natural events, providing insights into societal perceptions and attitudes toward these occurrences.