as.tmCorpus             Create textmining Corpus
filter_documents        Function to filter tagged text
getDoc                  Function to access documents for textmining
                        objects
getMeta                 Function to access meta data for textmining
                        objects
make_tabled             Function to create tmWordCountsTable object
                        from tmParsed
mallet_prepare          Helper function to use mallet topic modelling
                        with tmCorpus
ngram                   Function to create ngram docs
parse                   Function to parse tmCorpus. As an outpus we
                        have tmParsed object.
predict                 predict for 'tmTopicModel' object
setDoc                  Function to change documents for textmining
                        objects
setMeta                 Function to access meta data for textmining
                        objects
tabler                  Helper function for tabelarising documents
terms                   Function to return the most frequent terms of
                        tmTopicModels
tmCorpus                Function to create tmCorpus
tmMetaData              Function to create tmMetaData
tmParsed                Function to create tmParsed
tmTaggedCorpus          Function to create tmTaggedCorpus
tmTextDocument          Function to create single tmTextDocument with
                        meta data. The object can store any from of
                        documents: raw (string), parsed or table of
                        words counts.
tmWordCountsTable       Function to create tmWordCountsTable
topic_network           Function to plot topic network
topic_table             Function to calculate topics and words arrays
                        from the mallet model.
topic_wordcloud         Simple wordcloud visualization of the topics.
train                   train for 'tmCorpus' object
