CalcGamma               Calculate a matrix whose rows represent
                        P(topic_i|tokens)
CalcHellingerDist       Calculate Hellinger Distance
CalcJSDivergence        Calculate Jensen-Shannon Divergence
CalcLikelihood          Calculate the log likelihood of a document term
                        matrix given a topic model
CalcLikelihoodC         Internal helper functions for 'textmineR'
CalcProbCoherence       Probabilistic coherence of topics
CalcTopicModelR2        Calculate the R-squared of a topic model.
Cluster2TopicModel      Represent a document clustering as a topic
                        model
CreateDtm               Convert a character vector to a document term
                        matrix.
CreateTcm               Convert a character vector to a term
                        co-occurrence matrix.
Dtm2Docs                Convert a DTM to a Character Vector of
                        documents
Dtm2Lexicon             Turn a document term matrix into a list for LDA
                        Gibbs sampling
Dtm2Tcm                 Turn a document term matrix into a term
                        co-occurrence matrix
FitCtmModel             Fit a Correlated Topic Model
FitLdaModel             Fit a Latent Dirichlet Allocation topic model
FitLsaModel             Fit a topic model using Latent Semantic
                        Analysis
GetProbableTerms        Get cluster labels using a "more probable"
                        method of terms
GetTopTerms             Get Top Terms for each topic from a topic model
LabelTopics             Get some topic labels using a "more probable"
                        method of terms
SummarizeTopics         Summarize topics in a topic model
TermDocFreq             Get term frequencies and document frequencies
                        from a document term matrix.
TmParallelApply         An OS-independent parallel version of 'lapply'
nih                     Abstracts and metadata from NIH research grants
                        awarded in 2014
posterior               Posterior methods for topic models
posterior.lda_topic_model
                        Draw from the posterior of an LDA topic model
predict.ctm_topic_model
                        Predict method for Correlated topic models
                        (CTM)
predict.lda_topic_model
                        Get predictions from a Latent Dirichlet
                        Allocation model
predict.lsa_topic_model
                        Predict method for LSA topic models
textmineR               textmineR
update                  Update methods for topic models
update.lda_topic_model
                        Update a Latent Dirichlet Allocation topic
                        model with new data
