Investigating Solar Cycles and Media Sentiment Through Advanced NLP Techniques

Authors: Aghamusa Azizov

Abstract:

This study investigates the correlation between solar activity and sentiment in news media coverage, using a large-scale dataset of solar activity since 1750 and over 15 million articles from "The New York Times" dating from 1851 onwards. Employing Pearson's correlation coefficient and multiple Natural Language Processing (NLP) tools—TextBlob, Vader, and DistillBERT—the research examines the extent to which fluctuations in solar phenomena are reflected in the sentiment of historical news narratives. The findings reveal that the correlation between solar activity and media sentiment is generally negligible, suggesting a weak influence of solar patterns on the portrayal of events in news media. Notably, a moderate positive correlation was observed between the sentiments derived from TextBlob and Vader, indicating consistency across NLP tools. The analysis provides insights into the historical impact of solar activity on human affairs and highlights the importance of using multiple analytical methods to understand complex relationships in large datasets. The study contributes to the broader understanding of how extraterrestrial factors may intersect with media-reported events and underlines the intricate nature of interdisciplinary research in the data science and historical domains.

Keywords: Solar Activity Correlation, Media Sentiment Analysis, Natural Language Processing, NLP, Historical Event Patterns.

References:

[1] Schwabe, H. (1844). Sonnenbeobachtungen im jahre 1843. von herrn hofrath schwabe in dessau. Astronomische Nachrichten, volume 21, issue 15, p. 233, 21, 233.
[2] Wolf, R. (1852). Neue untersuchungen über die periode der sonnenflecken und ihre bedeutung.. (New investigations regarding the period of sunspots and its significance). Mittheilungen der Naturforschenden Gesellschaft in Bern (in German). 255: 249–270.
[3] Wolf, R. (1852). Sonnenflecken-Beobachtungen in der ersten Hälfte des Jahres 1852; Entdeckung des Zusammenhanges zwischen den Declinations-variationen der Magnetnadel und des Sonnenflecken. Mittheilungen der Naturforschenden Gesellschaft in Bern, 179-184. Mittheilungen der Naturforschenden Gesellschaft in Bern (in German). 245: 179–184.
[4] Tchijevsky, A. L. (1971). Physical factors of the historical process. Cycles, 22, 11-27.
[5] Chizhevsky, A. L. (1930). Epidemic catastrophes and periodic activity of the Sun. Moscow (in Russian).
[6] “On the dismissal of the director of the central laboratory for ionification A. L. Chizhevsky” (July 8, 1936) Pravda newspaper.
[7] Douglass, A. E. (1933). Tree growth and climatic cycles. The Scientific Monthly, 37(6), 481-495.
[8] Douglass, A. E. (1927). Solar records in tree growth. Science, 65(1679), 220-221.
[9] Shcherbinovsky N. S. (1960). Solar-induced cyclicity of mass reproduction of harmful insects and other animals. - Astronomer. Sat., issue 3/4, p. 165-169
[10] Shultz N. A. (1964) The influence of solar activity fluctuations on the number of white blood cells. - In the book: Earth in the Universe. Moscow (in Russian): Mysl, p. 382-399
[11] Pikkardi G. (1962) The chemical basis of medical climatology. - USA: Springfield, - 146 p.
[12] Takata, M. (1951). Über eine neue biologisch wirksame Komponente der Sonnenstrahlung: Beitrag zu einer experimentellen Grundlage der Heliobiologie. Archiv für Meteorologie, Geophysik und Bioklimatologie, Serie B, 2, 486-508.
[13] “The Quarterly Journal of Economics” (1934) November
[14] Garcia-Mata, C., & Shaffner, F. I. (1934). Solar and economic relationships: a preliminary report. The Quarterly Journal of Economics, 49(1), 1-51.
[15] Journal of cycle research, Volumes 1–5, p 89 (1951) and Volume 41, p 156
[16] Dewey, E. R., & Mandino, O. (1971). Cycles: The mysterious forces that trigger events. (No Title).
[17] Putilov, A. A. (1992). Unevenness of distribution of historical events throughout an 11-year solar cycle. (Article in Russian) Biofizika, 37(4), 629-635.
[18] Mukaka, M. M. (2012). A guide to appropriate use of correlation coefficient in medical research. Malawi medical journal, 24(3), 69-71.