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... |
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... |
tmWordCountsTable | Function to create tmWordCountsTable |
topic_network | Function to plot topic network |
topic_table | Function to calculate topics and words arrays from the mallet... |
topic_wordcloud | Simple wordcloud visualization of the topics. |
train | train for 'tmCorpus' object |
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