A Semantic Graph-Based Approach for Mining Common Topics from Multiple Asynchronous Text Streams.
Long Chen|Joemon M. Jose|Haitao Yu|Fajie Yuan
| Anthology ID: | DBLP:conf/www/ChenJYY17 |
|---|---|
| Volume: | Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017 |
| Year: | 2017 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1201-1209 |
| URL: | https://doi.org/10.1145/3038912.3052630 |
| DOI: | https://doi.org/10.1145/3038912.3052630 |
| DBLP: | conf/www/ChenJYY17 |
| BibTeX: |
@inproceedings{chen-2017-semantic,
author = {Long Chen and
Joemon M. Jose and
Haitao Yu and
Fajie Yuan},
editor = {Rick Barrett and
Rick Cummings and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{A Semantic Graph-Based Approach for Mining Common Topics from Multiple Asynchronous Text Streams}},
booktitle = {{Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017}},
pages = {1201--1209},
publisher = {ACM},
year = {2017},
url = {https://doi.org/10.1145/3038912.3052630},
doi = {https://doi.org/10.1145/3038912.3052630}
}