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- Binary operator version of rm_stopwords
that
defaults to separate = FALSE
..rm_stopwords(text.var, stopwords = qdapDictionaries::Top25Words,
unlist = FALSE, separate = TRUE, strip = FALSE, unique = FALSE,
char.keep = NULL, names = FALSE, ignore.case = TRUE,
apostrophe.remove = FALSE, ...)
rm_stop(text.var, stopwords = qdapDictionaries::Top25Words, unlist = FALSE,
separate = TRUE, strip = FALSE, unique = FALSE, char.keep = NULL,
names = FALSE, ignore.case = TRUE, apostrophe.remove = FALSE, ...)
text.var %sw% stopwords
Top200Words
, Top100Words
, Top25Words
. For the tm
package's traditional English stop wTRUE
unlists into one vector. General use
intended for when separate is FALSE
.TRUE
separates sentences into words. If
FALSE
retains sentences.TRUE
strips the text of all punctuation
except apostrophes.TRUE
keeps only unique words (if unlist is
TRUE
) or sentences (if unlist is FALSE
). General use intended
for when unlist is TRUE
.TRUE
this argument provides a means of
retaining supplied character(s).TRUE
will name the elements of the vector or
list with the original text.var
.TRUE
stopwords will be removed
regardless of case. Additionally, case will be stripped from the text. If
FALSE
stop word removal is contingent upon case. Additionally, case
is not stripped.TRUE
removes apostrophe's from
the output.strip
function.strip
,
bag_o_words
,
stopwords
rm_stopwords(DATA$state)
rm_stopwords(DATA$state, tm::stopwords("english"))
rm_stopwords(DATA$state, Top200Words)
rm_stopwords(DATA$state, Top200Words, strip = TRUE)
rm_stopwords(DATA$state, Top200Words, separate = FALSE)
rm_stopwords(DATA$state, Top200Words, separate = FALSE, ignore.case = FALSE)
rm_stopwords(DATA$state, Top200Words, unlist = TRUE)
rm_stopwords(DATA$state, Top200Words, unlist = TRUE, strip=TRUE)
rm_stop(DATA$state, Top200Words, unlist = TRUE, unique = TRUE)
c("I like it alot", "I like it too") %sw% qdapDictionaries::Top25Words
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