The FLDA model for aspect-based opinion mining: addressing the cold start problem.
Samaneh Moghaddam|Martin Ester
| Anthology ID: | DBLP:conf/www/MoghaddamE13 |
|---|---|
| Volume: | 22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013 |
| Year: | 2013 |
| Venue: | The Web Conference (WWW) |
| Publisher: | International World Wide Web Conferences Steering Committee / ACM |
| Pages: | 909-918 |
| URL: | https://doi.org/10.1145/2488388.2488467 |
| DOI: | https://doi.org/10.1145/2488388.2488467 |
| DBLP: | conf/www/MoghaddamE13 |
| BibTeX: |
@inproceedings{moghaddam-2013-flda,
author = {Samaneh Moghaddam and
Martin Ester},
editor = {Daniel Schwabe and
Virg\'{i}lio A. F. Almeida and
Hartmut Glaser and
Ricardo Baeza-Yates and
Sue B. Moon},
title = {{The FLDA model for aspect-based opinion mining: addressing the cold start problem}},
booktitle = {{22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013}},
pages = {909--918},
publisher = {International World Wide Web Conferences Steering Committee / ACM},
year = {2013},
url = {https://doi.org/10.1145/2488388.2488467},
doi = {https://doi.org/10.1145/2488388.2488467}
}