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... |
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... |
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 |
InternalFunctions | Internal helper functions for 'textmineR' |
LabelTopics | Get some topic labels using a "more probable" method of terms |
nih | Abstracts and metadata from NIH research grants awarded in... |
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 |
SummarizeTopics | Summarize topics in a topic model |
TermDocFreq | Get term frequencies and document frequencies from a document... |
textmineR | textmineR |
textmineR-deprecated | Deprecated functions in package 'textmineR'. |
TmParallelApply | An OS-independent parallel version of 'lapply' |
update | Update methods for topic models |
update.lda_topic_model | Update a Latent Dirichlet Allocation topic model with new... |
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