freq.analysis analyzes texts
regarding frequencies of tokens, word classes etc.freq.analysis(txt.file, corp.freq = NULL,
desc.stat = TRUE, force.lang = NULL,
tagger = "kRp.env", corp.rm.class = "nonpunct",
corp.rm.tag = c(), ...) kRp.freq.analysis(txt.file, corp.freq = NULL,
desc.stat = TRUE, force.lang = NULL,
tagger = "kRp.env", corp.rm.class = "nonpunct",
corp.rm.tag = c(), ...)
kRp.tagged-class,
kRp.txt.freq-class,
kRp.corp.freq-class.txt.file is already of
class kRp.tagged-class. Defaults to
"kRp.env" to get the settings by
"nonpunct" has special meaning and
will cause the result of kRp.POS.tags(lang,
c("punct","sentc"), list.classes=TRUE) tagger.kRp.txt.freq-class.kRp.txt.freq-class. By default, if the text has yet to be tagged, the
language definition is queried by calling
get.kRp.env(lang=TRUE) internally. Or, if
txt.file has already been tagged, by default the
language definition of that tagged object is read and
used. Set force.lang=get.kRp.env(lang=TRUE) or to
any other valid value, if you want to forcibly overwrite
this default behaviour, and only then. See
kRp.POS.tags for all
supported languages.
get.kRp.env,
kRp.tagged-class,
kRp.corp.freq-classfreq.analysis("~/some/text.txt", corp.freq=my.LCC.data)Run the code above in your browser using DataLab