Understanding Sparse Topical Structure of Short Text via Stochastic Variational-Gibbs Inference.
Tianyi Lin|Siyuan Zhang|Hong Cheng
| Anthology ID: | DBLP:conf/cikm/LinZC16 |
|---|---|
| Volume: | Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016 |
| Year: | 2016 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 407-416 |
| URL: | https://doi.org/10.1145/2983323.2983765 |
| DOI: | https://doi.org/10.1145/2983323.2983765 |
| DBLP: | conf/cikm/LinZC16 |
| BibTeX: |
@inproceedings{lin-2016-understanding,
author = {Tianyi Lin and
Siyuan Zhang and
Hong Cheng},
editor = {Snehasis Mukhopadhyay and
ChengXiang Zhai and
Javed Mostafa and
Elisa Bertino and
Fabio Crestani and
Javed Mostafa and
Jie Tang and
Luo Si and
Xiaofang Zhou and
Yi Chang and
Yunyao Li and
Parikshit Sondhi},
title = {{Understanding Sparse Topical Structure of Short Text via Stochastic Variational-Gibbs Inference}},
booktitle = {{Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016}},
pages = {407--416},
publisher = {ACM},
year = {2016},
url = {https://doi.org/10.1145/2983323.2983765},
doi = {https://doi.org/10.1145/2983323.2983765}
}