-disable_minimal_length : Don't apply minimal length rule (default: False).To review, open the file in an editor that reveals hidden Unicode characters. -disable_hardrules: Disables the hardrules filtering (only monocleaner fluency scoring is applied) (default: False) Clean text Raw cleaner.py This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below.-add_lang_ident: Add another column with the identified language if it's not disabled.-score_only: Only output one column which is the monocleaner score (default: False). join (word for word in text.split () if word not in STOPWORDS) delete stopwors from text return text df post df post.apply (cleantext) printplot (10) Sign up for free to join this conversation on GitHub. When omitted output will be written to stdout. text BADSYMBOLSRE.sub, text) delete symbols which are in BADSYMBOLSRE from text text.
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