class_docstr: Transforms the polarity of 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: "BAD spicy tuna roll, great asian salad."
docstr: Get the polarity of other opinions.
  
  :param dict term_to_position_list: position list of terms
  :param str term_id: term id
  :return set: return opinions and polarities of other terms
code: def get_other_opinions(term_to_position_list, term_id):
      r"""
      Get the polarity of other opinions.
  
      :param dict term_to_position_list: position list of terms
      :param str term_id: term id
      :return set: return opinions and polarities of other terms
  
      """
      other_polarity = set()
      other_opinions = set()
  
      for other_term_id in term_to_position_list:
          if other_term_id != term_id:
              other_polarity.add(
                  term_to_position_list[other_term_id]["polarity"]
              )
              for other_opi in term_to_position_list[other_term_id][
                  "opinion_words"
              ]:
                  other_opinions.add(other_opi[0])
  
      return other_opinions, other_polarity
  
file_path: textflint/textflint/generation/transformation/ABSA/rev_tgt.py
imports: from copy import deepcopy
  from .absa_transformation import ABSATransformation
label_desc: Use image node_id 6 for calling the RevTgt obj's underlying member method code with example usage: obj.get_other_opinions(term_to_position_list, term_id) and returns: other_opinions,  other_polarity