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

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)