Probabilistic Topic Models for Text Data Retrieval and Analysis.

ChengXiang Zhai


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} }