kRp.text.analysis analyzes texts in various ways.
kRp.text.analysis(txt.file, tagger = "kRp.env", force.lang = NULL, desc.stat = TRUE, lex.div = TRUE, corp.freq = NULL, corp.rm.class = "nonpunct", corp.rm.tag = c(), ...)kRp.tagged-class,
      kRp.txt.freq-class,
kRp.analysis-class or kRp.txt.trans-class, or
a character vector which must be be a valid path to a file containing the text to be analyzed.txt.file is already of class kRp.tagged-class. Defaults to "kRp.env" to get the settings by
get.kRp.env. Set to "tokenize" to use tokenize.lex.div.kRp.corp.freq-class. If present,
      a frequency index for the analyzed text is computed (see details)."nonpunct" has special meaning and will cause the result of
kRp.POS.tags(lang, c("punct","sentc"), list.classes=TRUE) to be used.tagger.kRp.analysis-class.
treetag(),
     freq.analysis() and lex.div().By default, if the text has to be tagged yet,
      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.
set.kRp.env,
      get.kRp.env,
   kRp.POS.tags, lex.div
## Not run: 
# kRp.text.analysis("/some/text.txt")
# ## End(Not run)
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