Social Media Sentiment Analysis for Solar Eclipse with Text Mining

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Acta Infologica
Volume:7 Issue:1
Social Media Sentiment Analysis for Solar Eclipse with Text Mining

Social Media Sentiment Analysis for Solar Eclipse with Text Mining

Authors : Adem Korkmaz, Selma Bulut

Pages : 187-196

Doi:10.26650/acin.1207100

View : 44 | Download : 28

Publication Date : 2024-01-02

Article Type : Research Paper

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.
Keywords : Metin Madenciliği, Duygu Analizi, Sosyal Medya Analizi, Parçalı Güneş Tutulması, Doğa Olayları

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