Mining causal topics in text data: iterative topic modeling with time series feedback.
Hyun Duk Kim|Malú Castellanos|Meichun Hsu|ChengXiang Zhai|Thomas A. Rietz|Daniel Diermeier
| Anthology ID: | DBLP:conf/cikm/KimCHZRD13 |
|---|---|
| Volume: | 22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013 |
| Year: | 2013 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 885-890 |
| URL: | https://doi.org/10.1145/2505515.2505612 |
| DOI: | https://doi.org/10.1145/2505515.2505612 |
| DBLP: | conf/cikm/KimCHZRD13 |
| BibTeX: |
@inproceedings{kim-2013-mining,
author = {Hyun Duk Kim and
Mal\'{u} Castellanos and
Meichun Hsu and
ChengXiang Zhai and
Thomas A. Rietz and
Daniel Diermeier},
editor = {Qi He and
Arun Iyengar and
Wolfgang Nejdl and
Jian Pei and
Rajeev Rastogi},
title = {{Mining causal topics in text data: iterative topic modeling with time series feedback}},
booktitle = {{22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013}},
pages = {885--890},
publisher = {ACM},
year = {2013},
url = {https://doi.org/10.1145/2505515.2505612},
doi = {https://doi.org/10.1145/2505515.2505612}
}