Package gov.sandia.cognition.text.topic

Provides topic modeling algorithms.

See:
          Description

Class Summary
LatentDirichletAllocationVectorGibbsSampler A Gibbs sampler for performing Latent Dirichlet Allocation (LDA).
LatentDirichletAllocationVectorGibbsSampler.Result Represents the result of performing Latent Dirichlet Allocation.
LatentSemanticAnalysis Implements the Latent Semantic Analysis (LSA) algorithm using Singular Value Decomposition (SVD).
LatentSemanticAnalysis.Transform The result from doing latent semantic analysis (LSA).
ParallelLatentDirichletAllocationVectorGibbsSampler A parallel implementation of LatentDirichletAllocationVectorGibbsSampler.
ProbabilisticLatentSemanticAnalysis An implementation of the Probabilistic Latent Semantic Analysis (PLSA) algorithm.
ProbabilisticLatentSemanticAnalysis.LatentData The information about each latent variable.
ProbabilisticLatentSemanticAnalysis.Result The dimensionality transform created by probabilistic latent semantic analysis.
ProbabilisticLatentSemanticAnalysis.StatusPrinter Prints out the status of the probabilistic latent semantic analysis algorithm.
 

Package gov.sandia.cognition.text.topic Description

Provides topic modeling algorithms.

Since:
3.1
Author:
Justin Basilico