14 search results - page 1 / 3 » Efficient methods for topic model inference on streaming doc... |
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
EMNLP
2010
13 years 2 months ago
2010
With the proliferation of user-generated articles over the web, it becomes imperative to develop automated methods that are aware of the ideological-bias implicit in a document co...
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
In this paper we propose the multirelational topic model (MRTM) for multiple types of link modeling such as citation and coauthor links in document networks. In the citation networ...
NIPS
2001
13 years 5 months ago
2001
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...
SDM
2007
SIAM
13 years 5 months ago
2007
SIAM
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...