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» Distributed Inference for Latent Dirichlet Allocation
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KDD
2010
ACM
435views Data Mining» more  KDD 2010»
13 years 9 months ago
Topic models with power-law using Pitman-Yor process
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
Issei Sato, Hiroshi Nakagawa
NIPS
2001
13 years 6 months ago
Latent Dirichlet Allocation
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...
David M. Blei, Andrew Y. Ng, Michael I. Jordan
AAIM
2009
Springer
172views Algorithms» more  AAIM 2009»
13 years 9 months ago
PLDA: Parallel Latent Dirichlet Allocation for Large-Scale Applications
Abstract. This paper presents PLDA, our parallel implementation of Latent Dirichlet Allocation on MPI and MapReduce. PLDA smooths out storage and computation bottlenecks and provid...
Yi Wang, Hongjie Bai, Matt Stanton, Wen-Yen Chen, ...
EMNLP
2010
13 years 3 months ago
Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
Jordan L. Boyd-Graber, Philip Resnik
ECIR
2009
Springer
14 years 2 months ago
A Topic-Based Measure of Resource Description Quality for Distributed Information Retrieval
The aim of query-based sampling is to obtain a sufficient, representative sample of an underlying (text) collection. Current measures for assessing sample quality are too coarse gr...
Mark Baillie, Mark James Carman, Fabio Crestani