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Statistical Topic Models for Multi-Label Document Classification
Topic Models LDA Multi-Label Classification Document Modeling
2011/7/19
Machine learning approaches to multi-label document classification have (to date) largely relied on discriminative modeling techniques such as support vector machines. A drawback of these approaches i...
Machine learning approaches to multi-label document classification have (to date) largely relied on discriminative modeling techniques such as support vector machines. A drawback of these approaches i...
Supervised Topic Models
Supervised Topic Models latent Dirichlet allocation labelled documents
2010/3/11
We introduce supervised latent Dirichlet allocation (sLDA), a
statistical model of labelled documents. The model accommodates a va-
riety of response types. We derive an approximate maximum-likeliho...
Syntactic Topic Models
Syntactic Topic Models Bayesian nonparametric model latent distributions
2010/3/11
The syntactic topic model (STM) is a Bayesian nonparametric model of language that discovers
latent distributions of words (topics) that are both semantically and syntactically coherent. The STM mode...