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} }