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

Ke Zhai, Jordan L. Boyd-Graber, Nima Asadi 0001, Mohamad L. Alkhouja. Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce. In Alain Mille, Fabien L. Gandon, Jacques Misselis, Michael Rabinovich, Steffen Staab, editors, Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012. pages 879-888, ACM, 2012. [doi]

@inproceedings{ZhaiBAA12,
  title = {Mr. LDA: a flexible large scale topic modeling package using variational inference in MapReduce},
  author = {Ke Zhai and Jordan L. Boyd-Graber and Nima Asadi 0001 and Mohamad L. Alkhouja},
  year = {2012},
  doi = {10.1145/2187836.2187955},
  url = {http://doi.acm.org/10.1145/2187836.2187955},
  researchr = {https://researchr.org/publication/ZhaiBAA12},
  cites = {0},
  citedby = {0},
  pages = {879-888},
  booktitle = {Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012},
  editor = {Alain Mille and Fabien L. Gandon and Jacques Misselis and Michael Rabinovich and Steffen Staab},
  publisher = {ACM},
  isbn = {978-1-4503-1229-5},
}