![[R logo]](../../../doc/html/logo.jpg){kind=logo}
![[Up]](../../../doc/html/left.jpg){kind=small}
![[Top]](../../../doc/html/up.jpg){kind=small}
| acq | 50 Exemplary News Articles from the Reuters-21578 Data Set of Topic acq |
| acq2 | 50 Exemplary News Articles from the Reuters-21578 Data Set of Topic acq |
| CalcLikelihood | Calculate the log likelihood of a document term matrix given a topic model |
| CalcLikelihoodC | Internal helper functions for 'textmineR' |
| CalcSumSquares | Internal helper functions for 'textmineR' |
| CalcTopicModelR2 | Function to calculate R-squared of a topic model. |
| CorrectS | Function to remove some forms of pluralization. |
| DepluralizeDtm | Run the CorrectS function on columns of a document term matrix. |
| documents | 50 Exemplary News Articles from the Reuters-21578 Data Set of Topic acq |
| dtm | 50 Exemplary News Articles from the Reuters-21578 Data Set of Topic acq |
| Dtm2Docs | Convert a DTM to a Character Vector of documents |
| Dtm2DocsC | Internal helper functions for 'textmineR' |
| Files2Vec | Function for reading text files into R |
| FitLdaModel | Fit a topic model using Latent Dirichlet Allocation |
| FormatRawLdaOutput | Format Raw Output from lda::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 |
| 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 |
| MakeSparseDTM | Convert a sparse simple triplet document term matrix to a sparse Matrix |
| model | 50 Exemplary News Articles from the Reuters-21578 Data Set of Topic acq |
| NgramTokenizer | Get n-grams when creating a document term matrix |
| ProbCoherence | Probailistic coherence of topics |
| 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. |