Metin Madenciliği ile Güneş Tutulmasına Yönelik Duygu Durumu Analizi

Yıl 2023, Cilt: 7 Sayı: 1, 187 - 196, 02.01.2024

Adem Korkmaz , Selma Bulut

https://doi.org/10.26650/acin.1207100

Öz

Bu çalışma, Twitter verilerini analiz ederek, 25 Ekim 2022’de meydana gelen Kısmi Güneş Tutulması’na karşı halkın duyarlılığını ve duygusal tepkilerini araştırıyor. Araştırma, metin madenciliği tekniklerinden ve duygu analizinden yararlanarak, bireylerin bu doğal olaya tepki olarak farklı duygularını ve bakış açılarını anlamayı amaçlıyor. Güneş tutulmasıyla ilgili tweetler toplandı, ön işleme tabi tutuldu ve olayla ilgili olumlu ve olumsuz duyguları belirlemek için NRC ve Bing dahil olmak üzere farklı duyarlılık analizi kitaplıkları kullanılarak analiz edildi. Sonuçlar, analiz edilen tweet’lerin %75’inin olumlu olduğunu ortaya çıkardı; bu, çoğu kullanıcının güneş tutulması hakkında olumlu bir görüşe sahip olduğunu ve onu yeni başlangıçlar ve değişimle ilişkilendirdiğini gösteriyor. Buna karşılık, daha az kişi, olayı potansiyel zarar veya ilahi ceza ile ilişkilendiren olumsuz duygular ifade etti. Çalışma, halkın duyarlılığını ve doğal olaylara karşı duygusal tepkilerini anlamada duygu analizinin değerini gösteriyor, toplumsal algılara ve bu olaylara yönelik tutumlara ilişkin içgörüler sağlıyor.

Anahtar Kelimeler

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

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

Text Mining, Sentiment Analysis, Social Media Analysis, Partial Solar Eclipse, Natural Events

Kaynakça

• 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
• Goldy, S. P., Jones, N. M., & Piff, P. K. (2022). The social effects of an awesome solar eclipse. Psychological Science, 33(9), 1452-1462. google scholar
• Izzuddin, A., Imroni, M. A., Imron, A., & Mahsun, M. (2022). Cultural myth of eclipse in a Central Javanese village: Between Islamic identity and local tradition. HTS Theological Studies, 78(4), 1-9. google scholar
• Java, A., Song, X., Finin, T., & Tseng, B. (2007, August). Why we Twitter: understanding microblogging usage and communities. In Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis (pp. 56-65). google scholar
• Javid, M., Tavaziani, Z., & Shayanfar, S. (2022). Good and Bad Luck of Days and Their Avicennian Explanation by Nasir al-Din al-Tusi. Philosophical Meditations, 12(28), 15-40. google scholar
• Jones, N. M., & Silver, R. C. (2020). This is not a drill: Anxiety on Twitter following the 2018 Hawaii false missile alert. American Psychologist, 75(5), 683. google scholar
• Krupp, E. C. (1997). Skywatchers, Shamans & Kings: Astronomy and the Archaeology of Power. New York: Wiley. google scholar
• Liu, B. (2012). Sentiment analysis and opinion mining. Synthesis lectures on human language technologies, 5(1), 1-167. google scholar
• Liu, B., & Hu, M. (2004). Opinion mining, sentiment analysis, and opinion spam detection. Dosegljivo: https://www. cs. uic. edu/ liub/FBS/sentiment-analysis. html# lexicon.[Dostopano 15. 2. 2016]. google scholar
• Mendon, S., Dutta, P., Behl, A., & Lessmann, S. (2021). A hybrid approach of machine learning and lexicons to sentiment analysis: Enhanced insights from twitter data of natural disasters. Information Systems Frontiers, 23, 1145-1168. google scholar
• Meng, L., & Dong, Z. S. (2020). Natural Hazards Twitter Dataset. arXiv preprint arXiv:2004.14456. google scholar
• Mohammad, S. M., and Turney, P. D. (2013) ‘‘NRC Emotion Lexicon’’, National Research Council of Canada: 234, https://doi.org/10.4224/21270984. google scholar
• Murdin, P. (2001). Effects of the 2001 total solar eclipse on African wildlife. Astronomy & Geophysics, 42(4), 4-4. google scholar
• Nasa. (2022). Fıve Mıllennıum Catalog Of Solar Eclıpses.https://eclipse.gsfc.nasa.gov/SEcat5/catalog.html google scholar
• Nielsen, F. Â. (2011). A new ANEW: Evaluation of a word list for sentiment analysis in microblogs. arXiv preprint arXiv:1103.2903. google scholar
• Norris D. (2017). Mind-Body Influences of a Solar Eclipse. https://www.mindbodyjournal.com/mindfulness/mind-body-influences-of-a-solar-eclipse/ google scholar
• Pak, A., & Paroubek, P. (2010, May). Twitter as a corpus for sentiment analysis and opinion mining. In LREc (Vol. 10, No. 2010, pp. 1320-1326). google scholar
• Swamy, V.K. (2020). Solar eclipse: Myths and superstitions from around the world. https://www.readersdigest.in/ oddsand-eclipse-story-solar-myths-andsuperstion. google scholar
• TimeandDate. (2022). Total Solar Eclipses Worldwide - Next 10 Years. https://www.timeanddate.com/eclipse/list-total-solar.html google scholar
• TimeandDate. (2022).25 Ekim 2022 Partial Solar Eclipse. https://www.timeanddate.com/eclipse/solar/2022-october-25 Types of Solar Eclipses. Nasa. (2022). https://solarsystem.nasa.gov/eclipses/about-eclipses/types/ google scholar
• Wang, J., Sun, Y. Y., Yu, T., Wang, Y., Mao, T., Yang, H., ... & Huang, G. (2022). Convergence effects on the ionosphere during and after the annular solar eclipse on 21 June 2020. Journal of Geophysical Research: Space Physics, e2022JA030471. google scholar
• Winstersteen J. (2022). How The Lunar Eclipse Will Affect You https://www.yogajournal.com/lifestyle/astrology/how-the-lunar-eclipse-will-affect-you/ google scholar