API for textmineR
Functions for Text Mining and Topic Modeling

Global functions
CalcHellingerDist Man page Source code
CalcJSDivergence Man page Source code
CalcLikelihood Man page Source code
CalcLikelihoodC Man page Source code
CalcPhiPrime Man page Source code
CalcProbCoherence Man page Source code
CalcSumSquares Man page Source code
CalcTopicModelR2 Man page Source code
Cluster2TopicModel Man page Source code
CorrectS Man page Source code
CreateDtm Man page Source code
CreateTcm Man page Source code
DepluralizeDtm Man page Source code
Dtm2Docs Man page Source code
Dtm2DocsC Man page Source code
Dtm2Tcm Man page Source code
Files2Vec Man page Source code
FitCtmModel Man page Source code
FitLdaModel Man page Source code
FitLsaModel Man page Source code
FormatRawLdaOutput Man page Source code
GetPhiPrime Man page Source code
GetProbableTerms Man page Source code
GetTopTerms Man page Source code
GetVocabFromDtm Man page Source code
HellDist Man page Source code
HellingerMat Man page Source code
Hellinger_cpp Man page Source code
JSD Man page Source code
JSD_cpp Man page Source code
JSDmat Man page Source code
LabelTopics Man page Source code
RecursiveRbind Man page Source code
TermDocFreq Man page Source code
TmParallelApply Man page Source code
Vec2Dtm Man page Source code
nih Man page
nih_sample Man page
nih_sample_dtm Man page
nih_sample_topic_model Man page
textmineR documentation built on Aug. 17, 2017, 5:05 p.m.