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
TweetNERD -- End to End Entity Linking Benchmark for Tweets
Shubhanshu Mishra, Aman Saini, Raheleh Makki, Sneha Mehta, Aria Haghighi, Ali Mollahosseini
Robust Candidate Generation for Entity Linking on Short Social Media Texts
Liam Hebert, Raheleh Makki, Shubhanshu Mishra, Hamidreza Saghir, Anusha Kamath, Yuval Merhav