Twitter Mentions of February 6th Earthquake: An Emotional Language Analysis
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, 2...
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| Format: | Article |
| Language: | English |
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Istanbul University Press
2023-12-01
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| Series: | İstanbul Üniversitesi Edebiyat Fakültesi Türk Dili ve Edebiyatı Dergisi |
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| Online Access: | https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/EA2B310D065841B58E0C927B166DDE80 |
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| _version_ | 1850277568762085376 |
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| author | Cemile Uzun |
| author_facet | Cemile Uzun |
| author_sort | Cemile Uzun |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-890462a92d2e40769bcdc8920fcc9719 |
| institution | OA Journals |
| issn | 2602-2648 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Istanbul University Press |
| record_format | Article |
| series | İstanbul Üniversitesi Edebiyat Fakültesi Türk Dili ve Edebiyatı Dergisi |
| spelling | doaj-art-890462a92d2e40769bcdc8920fcc97192025-08-20T01:49:50ZengIstanbul University Pressİstanbul Üniversitesi Edebiyat Fakültesi Türk Dili ve Edebiyatı Dergisi2602-26482023-12-0163250351710.26650/TUDED2023-1350807123456Twitter Mentions of February 6th Earthquake: An Emotional Language AnalysisCemile Uzun0https://orcid.org/0000-0002-0102-3306Fırat Üniversitesi, Elazig, TurkiyeSocial 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.https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/EA2B310D065841B58E0C927B166DDE80earthquake6th februarykahramanmaraşemotion analysislanguage |
| spellingShingle | Cemile Uzun Twitter Mentions of February 6th Earthquake: An Emotional Language Analysis İstanbul Üniversitesi Edebiyat Fakültesi Türk Dili ve Edebiyatı Dergisi earthquake 6th february kahramanmaraş emotion analysis language |
| title | Twitter Mentions of February 6th Earthquake: An Emotional Language Analysis |
| title_full | Twitter Mentions of February 6th Earthquake: An Emotional Language Analysis |
| title_fullStr | Twitter Mentions of February 6th Earthquake: An Emotional Language Analysis |
| title_full_unstemmed | Twitter Mentions of February 6th Earthquake: An Emotional Language Analysis |
| title_short | Twitter Mentions of February 6th Earthquake: An Emotional Language Analysis |
| title_sort | twitter mentions of february 6th earthquake an emotional language analysis |
| topic | earthquake 6th february kahramanmaraş emotion analysis language |
| url | https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/EA2B310D065841B58E0C927B166DDE80 |
| work_keys_str_mv | AT cemileuzun twittermentionsoffebruary6thearthquakeanemotionallanguageanalysis |