class_docstr: Candidate opinion term or aspect term.
  
  Attributes:
      term (list): list of terms
      pos (list): list of pos
      source_term (list): list of related anchor terms
      sentence (str): sentence text this term
      term_polarity (int): term polarity
class_docstr_tok: ["Candidate","opinion","term","or","aspect","term",".","Attributes",":","term","(","list",")",":","list","of","terms","pos","(","list",")",":","list","of","pos","source_term","(","list",")",":","list","of","related","anchor","terms","sentence","(","str",")",":","sentence","text","this","term","term_polarity","(","int",")",":","term","polarity"]
code: def __ne__(self, other):
      return not self == other
  
imports: import csv
  from enum import Enum
  from os import PathLike
  from nlp_architect.models.absa import TRAIN_LEXICONS
label_desc: Use image node_id 4 for calling the CandidateTerm obj's underlying member method code with example usage: obj.__ne__(other) and returns: unknown