CalcHellingerDist | Calculate Hellinger Distance |
CalcJSDivergence | Calculate Jensen-Shannon Divergence |
CalcLikelihood | Calculate the log likelihood of a document term matrix given... |
CalcPhiPrime | Calculate a matrix whose rows represent P(topic_i|tokens) |
CalcProbCoherence | Probailistic coherence of topics |
CalcTopicModelR2 | Calculate the R-squared of a topic model. |
Cluster2TopicModel | Represent a document clustering as a topic model |
CorrectS | Function to remove some forms of pluralization. |
CreateDtm | Convert a character vector to a document term matrix. |
CreateTcm | Convert a character vector to a term co-occurence matrix. |
DepluralizeDtm | Run the CorrectS function on columns of a document term... |
Dtm2Docs | Convert a DTM to a Character Vector of documents |
Dtm2Tcm | Turn a document term matrix into a term co-occurence matrix |
Files2Vec | Function for reading text files into R |
FitCtmModel | Fit a Correlated Topic Model |
FitLdaModel | Fit a topic model using Latent Dirichlet Allocation |
FitLsaModel | Fit a topic model using Latent Semantic Analysis |
FormatRawLdaOutput | Format Raw Output from 'lda.collapsed.gibbs.sampler' |
GetPhiPrime | Calculate a matrix whose rows represent P(topic_i|tokens) |
GetProbableTerms | Get cluster labels using a "more probable" method of terms |
GetTopTerms | Get Top Terms for each topic from a topic model |
GetVocabFromDtm | Reconstruct a 'text2vec::vocabulary' object from a document... |
HellDist | Hellinger Distance |
InternalFunctions | Internal helper functions for 'textmineR' |
JSD | Jensen-Shannon Divergence |
LabelTopics | Get some topic labels using a "more probable" method of terms |
nih | Abstracts and metadata from NIH research grants awarded in... |
RecursiveRbind | Recursively call rBind from the Matrix package. |
TermDocFreq | Get term frequencies and document frequencies from a document... |
TmParallelApply | An OS-independent parallel version of 'lapply' |
Vec2Dtm | Convert a character vector to a document term matrix of class... |
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