Metin Madenciliği ile Güneş Tutulmasına Yönelik Duygu Durumu Analizi

Year 2023, Volume: 7 Issue: 1, 187 - 196, 02.01.2024

Adem Korkmaz , Selma Bulut

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

Abstract

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.

Keywords

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

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

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

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