class_docstr: Transforms the polarity of non-target by replacing its opinion words
      with antonyms provided by WordNet or adding the negation that
      pre-defined in our negative word list.
  
  Example::
  
      Original sentence: "BEST spicy tuna roll, great asian salad.
      （Target: spicy tuna roll)"
      Transformed sentence: "BEST spicy tuna roll, not great asian salad."
code: def __init__(self, language="eng"):
      super().__init__()
  
      if language != "eng":
          raise ValueError(f"Language {language} is not available.")
      self.language = language
      self.tokenize = self.processor.tokenize
  
file_path: textflint/textflint/generation/transformation/ABSA/rev_non.py
imports: from copy import deepcopy
  from ...transformation.ABSA.absa_transformation import ABSATransformation
label_desc: Use image node_id 1 to create a new RevNon object from inherited base classes: ABSATransformation with example: obj = RevNon(language)