mallet.import: Import text documents into Mallet format
In mallet: A wrapper around the Java machine learning tool MALLET

Description Usage Arguments See Also Examples

View source: R/mallet.R

This function takes an array of document IDs and text files (as character strings) and converts them into a Mallet instance list.

1	mallet.import(id.array, text.array, stoplist.file, preserve.case, token.regexp)

`id.array`	An array of document IDs.
`text.array`	An array of text strings to use as documents. The type of the array must be `character`.
`stoplist.file`	The name of a file containing stopwords (words to ignore), one per line. If the file is not in the current working directory, you may need to include a full path.
`preserve.case`	By default, the input text is converted to all lowercase.
`token.regexp`	A quoted string representing a regular expression that defines a token. The default is one or more unicode letter: "[\\p{L}]+". Note that special characters must have double backslashes.

mallet.word.freqs returns term and document frequencies, which may be useful in selecting stopwords.

## Not run: 
mallet.instances <- mallet.import(documents$id, documents$text, "en.txt",
		    		token.regexp = "\\p{L}[\\p{L}\\p{P}]+\\p{L}")

## End(Not run)