Home » μTOP: Spatio-Temporal Detection and Summarization of Locally Trending Topics in Microblog Posts

μTOP: Spatio-Temporal Detection and Summarization of Locally Trending Topics in Microblog Posts

Authors: 
Paras Mehta
Manuel Kotlarski
Dimitrios Skoutas
Dimitrios Sacharidis
Type: 
Poster presentation with CD proceedings
Proceedings: 
International Conference on Extending Database Technology (EDBT '17), March 21-24, 2017
Publisher: 
Pages: 
ISBN: 
ISSN: 2367-2005
Year: 
2017
Abstract: 
TU Focus: 
Information and Communication Technology
Reference: 

P. Mehta, M. Kotlarski, D. Skoutas, D. Sacharidis, K. Patroumpas, A. Voisard:
"μTOP: Spatio-Temporal Detection and Summarization of Locally Trending Topics in Microblog Posts";
Poster: International Conference on Extending Database Technology (EDBT '17), Venice, Italy; 21.03.2017 - 24.03.2017; in: "International Conference on Extending Database Technology (EDBT '17), March 21-24, 2017", (2017), ISSN: 2367-2005; 4 S.

Zusätzliche Informationen

PDF Link: 
http://publik.tuwien.ac.at/files/publik_264982.pdf
Last changed: 
21.12.2017 11:19:44
TU Id: 
264982
Accepted: 
Accepted
Invited: 
Department Focus: 
Business Informatics
Info Link: 
https://publik.tuwien.ac.at/showentry.php?ID=264982&lang=1
Abstract German: 
Author List: 
P. Mehta, M. Kotlarski, D. Skoutas, D. Sacharidis, K. Patroumpas, A. Voisard