Man pages for textmineR
Functions for Text Mining and Topic Modeling

CalcHellingerDistCalculate Hellinger Distance
CalcJSDivergenceCalculate Jensen-Shannon Divergence
CalcLikelihoodCalculate the log likelihood of a document term matrix given...
CalcPhiPrimeCalculate a matrix whose rows represent P(topic_i|tokens)
CalcProbCoherenceProbailistic coherence of topics
CalcTopicModelR2Calculate the R-squared of a topic model.
Cluster2TopicModelRepresent a document clustering as a topic model
CorrectSFunction to remove some forms of pluralization.
CreateDtmConvert a character vector to a document term matrix.
CreateTcmConvert a character vector to a term co-occurence matrix.
DepluralizeDtmRun the CorrectS function on columns of a document term...
Dtm2DocsConvert a DTM to a Character Vector of documents
Dtm2TcmTurn a document term matrix into a term co-occurence matrix
Files2VecFunction for reading text files into R
FitCtmModelFit a Correlated Topic Model
FitLdaModelFit a topic model using Latent Dirichlet Allocation
FitLsaModelFit a topic model using Latent Semantic Analysis
FormatRawLdaOutputFormat Raw Output from 'lda.collapsed.gibbs.sampler'
GetPhiPrimeCalculate a matrix whose rows represent P(topic_i|tokens)
GetProbableTermsGet cluster labels using a "more probable" method of terms
GetTopTermsGet Top Terms for each topic from a topic model
GetVocabFromDtmReconstruct a 'text2vec::vocabulary' object from a document...
HellDistHellinger Distance
InternalFunctionsInternal helper functions for 'textmineR'
JSDJensen-Shannon Divergence
LabelTopicsGet some topic labels using a "more probable" method of terms
nihAbstracts and metadata from NIH research grants awarded in...
RecursiveRbindRecursively call rBind from the Matrix package.
TermDocFreqGet term frequencies and document frequencies from a document...
TmParallelApplyAn OS-independent parallel version of 'lapply'
Vec2DtmConvert a character vector to a document term matrix of class...
textmineR documentation built on Aug. 17, 2017, 5:05 p.m.