# Functions for Text Mining and Topic Modeling

## Documentation for package ‘textmineR’ version 2.1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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'
CalcPhiPrime | Calculate a matrix whose rows represent P(topic_i|tokens)
CalcProbCoherence | Probabilistic coherence of topics
CalcSumSquares | Internal helper functions for 'textmineR'
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-occurrence matrix.
DepluralizeDtm | Run the CorrectS function on columns of a document term matrix.
Dtm2Docs | Convert a DTM to a Character Vector of documents
Dtm2DocsC | Internal helper functions for 'textmineR'
Dtm2Tcm | Turn a document term matrix into a term co-occurrence 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 term matrix.
HellDist | Hellinger Distance
HellingerMat | Internal helper functions for 'textmineR'
Hellinger_cpp | Internal helper functions for 'textmineR'
JSD | Jensen-Shannon Divergence
JSDmat | Internal helper functions for 'textmineR'
JSD_cpp | 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 2014
nih_sample | Abstracts and metadata from NIH research grants awarded in 2014
nih_sample_dtm | Abstracts and metadata from NIH research grants awarded in 2014
nih_sample_topic_model | Abstracts and metadata from NIH research grants awarded in 2014
RecursiveRbind | Recursively call rBind from the Matrix package.
TermDocFreq | Get term frequencies and document frequencies from a document term matrix.
TmParallelApply | An OS-independent parallel version of 'lapply'
Vec2Dtm | Convert a character vector to a document term matrix of class Matrix.