# Phrase Mining

## Documentation for package ‘phm’ version 2.1.2

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

## Help Pages

as.matrix.phraseDoc | Convert a phraseDoc Object to a Matrix
bestDocs | Find Informative Documents in a Corpus
canberra | Calculate Canberra Distance
DFSource | Create a DFSource object from a data frame
distMatrix | Calculate a Distance Matrix
freqPhrases | Display Frequent Principal Phrases
getDocs | Display Frequency Matrix for Phrases
getElem.DFSource | Obtain the current row of the content of a DFSource
getPhrases | Display Frequency Matrix for Documents
getPubMed | Create a data table from a text file in PubMed format
phraseDoc | phraseDoc Creation
print.phraseDoc | Print a phraseDoc Object
print.textCluster | Print a textCluster Object
readDF | Create a PlainTextDocument from a row in a data frame
removePhrases | Remove Phrases from phraseDoc Object
showCluster | Show Cluster Contents
stopEndWords | Words that Principal Phrases do not End with
stopPhrases | Phrases that are not Principal Phrases
stopStartWords | Words that Principal Phrases do not Start with
textCluster | Cluster a Term-Document Matrix
textDist | Calculate Text Distance (dense version)
textDistMatrix | Calculate a Text Distance Matrix
textDist_sparse | Calculate Text Distance (sparse version)