Michael Roistacher


2016

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What’s up on Twitter? Catch up with TWIST!
Marina Litvak | Natalia Vanetik | Efi Levi | Michael Roistacher
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations

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.