Probabilistic Topic Models for Text Data Retrieval and Analysis.
| Anthology ID: | DBLP:conf/sigir/Zhai17 |
|---|---|
| Volume: | Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017 |
| Year: | 2017 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1399-1401 |
| URL: | https://doi.org/10.1145/3077136.3082067 |
| DOI: | https://doi.org/10.1145/3077136.3082067 |
| DBLP: | conf/sigir/Zhai17 |
| BibTeX: |
@inproceedings{zhai-2017-probabilistic,
author = {ChengXiang Zhai},
editor = {Noriko Kando and
Tetsuya Sakai and
Hideo Joho and
Hang Li and
Arjen P. de Vries and
Ryen W. White},
title = {{Probabilistic Topic Models for Text Data Retrieval and Analysis}},
booktitle = {{Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017}},
pages = {1399--1401},
publisher = {ACM},
year = {2017},
url = {https://doi.org/10.1145/3077136.3082067},
doi = {https://doi.org/10.1145/3077136.3082067}
}