What’s up on Twitter? Catch up with TWIST!
Marina Litvak, Natalia Vanetik, Efi Levi, Michael Roistacher
Abstract
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.- Anthology ID:
- C16-2045
- Volume:
- Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editor:
- Hideo Watanabe
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 213–217
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/C16-2045/
- DOI:
- Cite (ACL):
- Marina Litvak, Natalia Vanetik, Efi Levi, and Michael Roistacher. 2016. What’s up on Twitter? Catch up with TWIST!. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 213–217, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- What’s up on Twitter? Catch up with TWIST! (Litvak et al., COLING 2016)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/C16-2045.pdf