Tweets Under the Rubble: Detection of Messages Calling for Help in Earthquake Disaster

• URL: http://arxiv.org/abs/2302.13403v1
• Date: Sun, 26 Feb 2023 20:55:19 GMT
• Title: Tweets Under the Rubble: Detection of Messages Calling for Help in Earthquake Disaster
• Authors: Cagri Toraman, Izzet Emre Kucukkaya, Oguzhan Ozcelik, Umitcan Sahin
• Abstract summary: We present an interactive tool to provide situational awareness for missing and trapped people, and disaster relief for rescue and donation efforts. The system collects tweets, (ii) classifies the ones calling for help, (iii) extracts important entity tags, and (iv) visualizes them in an interactive map screen. Our initial experiments show that the performance in terms of the F1 score is up to 98.30 for tweet classification, and 84.32 for entity extraction.
• Score: 1.3190581566723918
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: The importance of social media is again exposed in the recent tragedy of the 2023 Turkey and Syria earthquake. Many victims who were trapped under the rubble called for help by posting messages in Twitter. We present an interactive tool to provide situational awareness for missing and trapped people, and disaster relief for rescue and donation efforts. The system (i) collects tweets, (ii) classifies the ones calling for help, (iii) extracts important entity tags, and (iv) visualizes them in an interactive map screen. Our initial experiments show that the performance in terms of the F1 score is up to 98.30 for tweet classification, and 84.32 for entity extraction. The demonstration, dataset, and other related files can be accessed at https://github.com/avaapm/deprem

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