Twitter Tweet
Twitter tweets, short text messages posted on the platform, are a rich source of data for various research objectives, including sentiment analysis, event monitoring, and understanding public opinion. Current research focuses on developing and applying advanced machine learning models, particularly transformer-based architectures like BERT and RoBERTa, to analyze tweet content, often incorporating techniques like active learning to improve efficiency and accuracy. These analyses have significant implications for fields ranging from crisis response and public health surveillance to political science and market prediction, providing valuable insights into real-time social dynamics and trends.
Papers
ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text
Maram Hasanain, Firoj Alam, Hamdy Mubarak, Samir Abdaljalil, Wajdi Zaghouani, Preslav Nakov, Giovanni Da San Martino, Abed Alhakim Freihat
Text Augmentations with R-drop for Classification of Tweets Self Reporting Covid-19
Sumam Francis, Marie-Francine Moens