Detecting real-time burst topics in microblog streams: how sentiment can help.

Lumin Zhang|Yan Jia|Bin Zhou|Yi Han


Anthology ID:DBLP:conf/www/ZhangJZH13
Volume:22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013, Companion Volume
Year:2013
Venue:The Web Conference (WWW)
Publisher:International World Wide Web Conferences Steering Committee / ACM
Pages:781-782
URL:https://doi.org/10.1145/2487788.2488045
DOI:https://doi.org/10.1145/2487788.2488045
DBLP:conf/www/ZhangJZH13
BibTeX:
@inproceedings{zhang-2013-detecting, author = {Lumin Zhang and Yan Jia and Bin Zhou and Yi Han}, editor = {Les Carr and Alberto H. F. Laender and Bernadette Farias L\'{o}scio and Irwin King and Marcus Fontoura and Denny Vrandecic and Lora Aroyo and Jos\'{e} Palazzo M. de Oliveira and Fernanda Lima and Erik Wilde}, title = {{Detecting real-time burst topics in microblog streams: how sentiment can help}}, booktitle = {{22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013, Companion Volume}}, pages = {781--782}, publisher = {International World Wide Web Conferences Steering Committee / ACM}, year = {2013}, url = {https://doi.org/10.1145/2487788.2488045}, doi = {https://doi.org/10.1145/2487788.2488045} }