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Social Media Sentiment Analysis for Solar Eclipse with Text Mining
Öz
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.
Anahtar Kelimeler
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Yazılım Mühendisliği (Diğer)
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
2 Ocak 2024
Gönderilme Tarihi
19 Kasım 2022
Kabul Tarihi
29 Mayıs 2023
Yayımlandığı Sayı
Yıl 2023 Cilt: 7 Sayı: 1
APA
Korkmaz, A., & Bulut, S. (2024). Social Media Sentiment Analysis for Solar Eclipse with Text Mining. Acta Infologica, 7(1), 187-196. https://doi.org/10.26650/acin.1207100
AMA
1.Korkmaz A, Bulut S. Social Media Sentiment Analysis for Solar Eclipse with Text Mining. ACIN. 2024;7(1):187-196. doi:10.26650/acin.1207100
Chicago
Korkmaz, Adem, ve Selma Bulut. 2024. “Social Media Sentiment Analysis for Solar Eclipse with Text Mining”. Acta Infologica 7 (1): 187-96. https://doi.org/10.26650/acin.1207100.
EndNote
Korkmaz A, Bulut S (01 Ocak 2024) Social Media Sentiment Analysis for Solar Eclipse with Text Mining. Acta Infologica 7 1 187–196.
IEEE
[1]A. Korkmaz ve S. Bulut, “Social Media Sentiment Analysis for Solar Eclipse with Text Mining”, ACIN, c. 7, sy 1, ss. 187–196, Oca. 2024, doi: 10.26650/acin.1207100.
ISNAD
Korkmaz, Adem - Bulut, Selma. “Social Media Sentiment Analysis for Solar Eclipse with Text Mining”. Acta Infologica 7/1 (01 Ocak 2024): 187-196. https://doi.org/10.26650/acin.1207100.
JAMA
1.Korkmaz A, Bulut S. Social Media Sentiment Analysis for Solar Eclipse with Text Mining. ACIN. 2024;7:187–196.
MLA
Korkmaz, Adem, ve Selma Bulut. “Social Media Sentiment Analysis for Solar Eclipse with Text Mining”. Acta Infologica, c. 7, sy 1, Ocak 2024, ss. 187-96, doi:10.26650/acin.1207100.
Vancouver
1.Adem Korkmaz, Selma Bulut. Social Media Sentiment Analysis for Solar Eclipse with Text Mining. ACIN. 01 Ocak 2024;7(1):187-96. doi:10.26650/acin.1207100