What’s up on Twitter? Catch up with TWIST!
Marina Litvak, Natalia Vanetik, Efi Levi, Michael Roistacher · International Conference on Computational Linguistics · 2016
Event detection and analysis with respect to public opinions and sentiments in social media is a broad and well-addressed research topic. However, the characteristics and sheer volume of noisy Twitter messages make this a difficult task. This demonstration paper describes a TWItter event Summarizer and Trend detector (TWIST) system for event detection, visualization, textual description, and geo-sentiment analysis of real-life events reported in Twitter.