Turkey Earthquake Relief Tweets Dataset

This dataset contains 500 tweets related to the earthquake that struck Turkey. The tweets have been divided into two classes: Class 1 (300 tweets) and Class 0 (200 tweets). Class 1 contains tweets from people who were affected by the earthquake and were asking for help, providing information about their location and communication details. Class 0 has 150 tweets that contain keywords similar to those in Class 1 such as "earthquake," "food," "blanket," and other related keywords. The remaining 50 tweets in Class 0 are unrelated to the earthquake.

The earthquake in Turkey was a significant event that had a major impact on the country and its people. It struck the country on February 6, 2023 and had a magnitude of 7.5 . The earthquake caused widespread damage to buildings and infrastructure and resulted in significant loss of life and injuries. In the aftermath of the earthquake, relief efforts were organized by the government, non-profit organizations, and other groups to provide assistance to those affected.

This dataset can be used as a training dataset for developing machine learning models that can assist in disaster response and relief efforts. The data can be used to train models that can automatically categorize tweets based on their content, detect areas in need of aid, and predict the resources required for relief efforts. By using this dataset, researchers and practitioners can make strides towards creating more efficient and effective disaster response systems.