prepare.text: Prepare Text and Calculate Term Frequencies

In snatm: Combine Social Network Analysis and Text Mining

Description

Perform a number of data preparation steps on a text corpus and calculate term frequencies.

Usage

prepare.text(forest, terms.from = c("subjects", "content"),list=c("devel", "help"), protect = NULL, ae.to.be = TRUE,
                 replace = TRUE, stem = TRUE)

Arguments

forest	A matrix with five columns. Result of makeforest.
terms.from	Should the function be applied on subjects or content?
list	Should the function be applied on the help or devel mailing list?
ae.to.be	Logical. Should American English spelling be transformed to British English spelling? Defaults to TRUE.
replace	Logical. Should terms be replaced by synonyms found in the text. See also ?wn.replace
protect	A numerical vector indicating the index of terms that should not be replaced by synonyms.
stem	Logical. Should terms be stemmed using the tm Snowball stemmer? Defaults to TRUE.

Value

$termfreq	A named vector containing the term frequencies of terms found in forest after a number of preparation steps.
$forest	Returns forest after preparation.

Author(s)

Angela Bohn angela.bohn at gmail.com

snatm documentation built on May 2, 2019, 5:01 p.m.