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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.
Keywords
References
- Barad, R. K., Sripathi, S., & England, S. L. (2022). Multi-Instrument Observations of the lonospheric Response to the 26 December 2019 Solar Eclipse Over Indian and Southeast Asian Longitudes. Journal of Geophysical Research: Space Physics, 127(9), e2022JA030330. google scholar
- Boral, G. C., Mishra, D. C., Pal, S. K., & Ghosh, K. K. (1981). Effects Of Total Solar Eclipse On Mental Patients A Clinicobiochemical Correlation. Indian Journal of Psychiatry, 23(2), 160. google scholar
- Chernogor, L. F., Garmash, K. P., Guo, Q., Luo, Y., Rozumenko, V. T., & Zheng, Y. (2022). Some features of the ionospheric radio wave characteristics over China observed during the solar eclipse of 21 June 2020. Radio Science, 57(10), 1-21. google scholar
- Cofield, C. (2017). Eclipse superstitions are a thing of the past and the present. Retrieved from https://wwww.space.com google scholar
- Das, B., Barman, K., Pal, S., & Haldar, P. K. (2022). Impact of Three Solar Eclipses of 2019-2020 on the D-Region lonosphere Observed from a Subtropical Low-Latitude VLF Radio Station. Journal of Geophysical Research: Space Physics, 127(8), e2022JA030353. google scholar
- Dore, B., Ort, L., Braverman, O., & Ochsner, K. N. (2015). Sadness shifts to anxiety over time and distance from the national tragedy in Newtown, Connecticut. Psychological science, 26(4), 363-373. google scholar
- Espenak, F., & Anderson, J. (2008). Total Solar Eclipse of 2008 August 01. NASA/TP-2007-214149. Retrieved from https://eclipse.gsfc.nasa.gov/SEpubs/20080801/rp.html google scholar
- Garcia, D., & Rime, B. (2019). Collective emotions and social resilience in the digital traces after a terrorist attack. Psychological science, 30(4), 617-628. google scholar
Details
Primary Language
English
Subjects
Software Engineering (Other)
Journal Section
Research Article
Publication Date
January 2, 2024
Submission Date
November 19, 2022
Acceptance Date
May 29, 2023
Published in Issue
Year 2023 Volume: 7 Number: 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, and 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 (January 1, 2024) Social Media Sentiment Analysis for Solar Eclipse with Text Mining. Acta Infologica 7 1 187–196.
IEEE
[1]A. Korkmaz and S. Bulut, “Social Media Sentiment Analysis for Solar Eclipse with Text Mining”, ACIN, vol. 7, no. 1, pp. 187–196, Jan. 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 (January 1, 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, and Selma Bulut. “Social Media Sentiment Analysis for Solar Eclipse With Text Mining”. Acta Infologica, vol. 7, no. 1, Jan. 2024, pp. 187-96, doi:10.26650/acin.1207100.
Vancouver
1.Adem Korkmaz, Selma Bulut. Social Media Sentiment Analysis for Solar Eclipse with Text Mining. ACIN. 2024 Jan. 1;7(1):187-96. doi:10.26650/acin.1207100