Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce.

Ke Zhai|Jordan L. Boyd-Graber|Sebastian Bruch|Mohamad L. Alkhouja


Anthology ID:DBLP:conf/www/ZhaiBAA12
Volume:Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012
Year:2012
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:879-888
URL:https://doi.org/10.1145/2187836.2187955
DOI:https://doi.org/10.1145/2187836.2187955
DBLP:conf/www/ZhaiBAA12
BibTeX:
@inproceedings{zhai-2012-mr, author = {Ke Zhai and Jordan L. Boyd-Graber and Sebastian Bruch and Mohamad L. Alkhouja}, editor = {Alain Mille and Fabien Gandon and Jacques Misselis and Michael Rabinovich and Steffen Staab}, title = {{Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce}}, booktitle = {{Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012}}, pages = {879--888}, publisher = {ACM}, year = {2012}, url = {https://doi.org/10.1145/2187836.2187955}, doi = {https://doi.org/10.1145/2187836.2187955} }