TY  - JOUR
T1  - 6 Şubat Depremi ve Twitter Duygu Analizi
TT  - Twitter Mentions of February 6th Earthquake: An Emotional Language Analysis
AU  - Uzun, Cemile
PY  - 2023
DA  - December
DO  - 10.26650/TUDED2023-1350807
JF  - Journal of Turkish Language and Literature
PB  - İstanbul Üniversitesi
WT  - DergiPark
SN  - 1015-2091
SP  - 503
EP  - 517
VL  - 63
IS  - 2
LA  - tr
AB  - 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.
KW  - Deprem
KW  - 06 Şubat
KW  - Kahramanmaraş
KW  - Duygu analizi
KW  - Dil
N2  - 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.
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UR  - https://doi.org/10.26650/TUDED2023-1350807
L1  - https://dergipark.org.tr/tr/download/article-file/3366083
ER  -