Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon.
| Anthology ID: | DBLP:conf/cikm/LimB14 |
|---|---|
| Volume: | Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014 |
| Year: | 2014 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1319-1328 |
| URL: | https://doi.org/10.1145/2661829.2662005 |
| DOI: | https://doi.org/10.1145/2661829.2662005 |
| DBLP: | conf/cikm/LimB14 |
| BibTeX: |
@inproceedings{lim-2014-twitter,
author = {Kar Wai Lim and
Wray L. Buntine},
editor = {Jianzhong Li and
Xiaoyang Sean Wang and
Minos N. Garofalakis and
Ian Soboroff and
Torsten Suel and
Min Wang},
title = {{Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon}},
booktitle = {{Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014}},
pages = {1319--1328},
publisher = {ACM},
year = {2014},
url = {https://doi.org/10.1145/2661829.2662005},
doi = {https://doi.org/10.1145/2661829.2662005}
}