A Tutorial on Probabilistic Topic Models for Text Data Retrieval and Analysis.

ChengXiang Zhai|Chase Geigle


Anthology ID:DBLP:conf/sigir/ZhaiG18
Volume:The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018
Year:2018
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1395-1398
URL:https://doi.org/10.1145/3209978.3210189
DOI:https://doi.org/10.1145/3209978.3210189
DBLP:conf/sigir/ZhaiG18
BibTeX:
@inproceedings{zhai-2018-tutorial, author = {ChengXiang Zhai and Chase Geigle}, editor = {Kevyn Collins-Thompson and Qiaozhu Mei and Brian D. Davison and Yiqun Liu and Emine Yilmaz}, title = {{A Tutorial on Probabilistic Topic Models for Text Data Retrieval and Analysis}}, booktitle = {{The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018}}, pages = {1395--1398}, publisher = {ACM}, year = {2018}, url = {https://doi.org/10.1145/3209978.3210189}, doi = {https://doi.org/10.1145/3209978.3210189} }