6 Şubat Depremi ve Twitter Duygu Analizi

Abstract

Sosyal medya, insanların hem bilgi almasını hem de kendilerini ifade etmesini sağladığı için deprem anında ve sonrasında önemli bir yere sahiptir. Çalışmada, insanların depreme ilişkin tecrübelerini ifade ederken kullandıkları duygu analizi dili üzerinde durulmuştur. Depremle ilgili duygu analizi dili tespit edilirken sosyal medya aracı olarak sadece Twitter kullanılmıştır. Duygu analizi, bir metinde ifade edilen duyguyu belirlemek için kullanılan doğal dil işleme tekniğidir. Çalışmanın amacı depreme yönelik duyguların dile nasıl yansıdığını ve bu duyguların zamanla nasıl bir değişim izlediğini ortaya çıkarmaktır. Bu amaçla, Twitter’de deprem etiketiyle 06 Şubat-06 Haziran tarihleri arasında atılan tivitlerdeki duygu dili analizi incelenmiştir. Duygu analizi dilini tespit etmek için Nakamura’nın duygu analizi sistemi kullanılmıştır. Nakamura, “Emotional Display Dictionary” adlı çalışmasında “heyecan, utanç, sevinç, düşkünlük, hoşlanmama, üzüntü, öfke, sürpriz, korku ve rahatlama” olmak üzere on duygu analizi sınıflandırması üzerinde durmuştur. Depremin insanlar üzerinde yarattığı duygular göz önünde bulundurularak Nakamura’nın duygu analizi depreme göre uyarlanmış ve 06 Şubat duygu dili analizi tespit edilirken “sevinç, keder, öfke, şaşırma, korku, rahatlama” olmak üzere altı duygu dili analizi kullanılmıştır. Hem Türkiye’de yaşanmış bir depremin duygu dili analizini ortaya koyması hem de Nakamura’nın duygu analizini kullanması yönüyle çalışmamız Türkiye’deki diğer çalışmalardan ayrılmaktadır.

Keywords

• Deprem
• 06 Şubat
• Kahramanmaraş
• Duygu analizi
• Dil

Twitter Mentions of February 6th Earthquake: An Emotional Language Analysis

Abstract

Social media is crucial during and after earthquakes, as it enables people to both receive information and express themselves. This study focuses on the analysis of the emotional language used by people when sharing their experiences related to the earthquake that occurred in Turkey on February 6, 2023. In the current study, the emotional language analysis focused on the social media tool Twitter alone. Emotion analysis is a natural language processing technique used to identify emotions expressed in a text. The current study aims to reveal the reflection of emotions about the earthquake in specific expressions and the variation in these emotions over time. For this purpose, an emotional language analysis of tweets posted on Twitter with the hashtag #earthquake between February 6 and June 6 was conducted. Nakamura’s system of emotion analysis was used to perform the emotional language analysis. In his work “Kanjō hyōgen jiten (Dictionary of emotive expressions),” Nakamura emphasized ten classifications of emotions: excitement, embarrassment, joy, fondness, dislike, sadness, anger, surprise, fear, and relief. From these, six emotions, namely joy, grief, anger, surprise, fear, and relief, were selected to analyze the emotional language in tweets about the earthquake. Our study is distinct from other studies in Turkey in terms of both revealing the emotional language resulting from the earthquake and using Nakamura’s emotion analysis.

Keywords

• Earthquake
• 6th February
• Kahramanmaraş
• Emotion analysis
• Language

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