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://aclanthology.org/C16-2045
DOI:
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/C16-2045.pdf