class_docstr: A Filter holding all generic and general lexicons, can verify if a given term is contained
   in one of the lexicons - hence belongs to one of the generic / general lexicons or is a valid
   term.
  
  Attributes:
      generic_opinion_lex (dict): generic opinion lexicon
      determiners_lex (dict): determiners lexicon
      general_adjectives_lex (dict): general adjectives lexicon
      generic_quantifiers_lex (dict): generic quantifiers lexicon
      geographical_adjectives_lex (dict): geographical adjectives lexicon
      intensifiers_lex (dict): intensifiers lexicon
      time_adjective_lex (dict): time adjective lexicon
      ordinal_numbers_lex (dict): ordinal numbers lexicon
      prepositions_lex (dict): prepositions lexicon
      pronouns_lex (dict): pronouns lexicon
      colors_lex (dict): colors lexicon
      negation_lex (dict): negation terms lexicon
class_docstr_tok: ["A","Filter","holding","all","generic","and","general","lexicons",",","can","verify","if","a","given","term","is","contained","in","one","of","the","lexicons","-","hence","belongs","to","one","of","the","generic","\/","general","lexicons","or","is","a","valid","term",".","Attributes",":","generic_opinion_lex","(","dict",")",":","generic","opinion","lexicon","determiners_lex","(","dict",")",":","determiners","lexicon","general_adjectives_lex","(","dict",")",":","general","adjectives","lexicon","generic_quantifiers_lex","(","dict",")",":","generic","quantifiers","lexicon","geographical_adjectives_lex","(","dict",")",":","geographical","adjectives","lexicon","intensifiers_lex","(","dict",")",":","intensifiers","lexicon","time_adjective_lex","(","dict",")",":","time","adjective","lexicon","ordinal_numbers_lex","(","dict",")",":","ordinal","numbers","lexicon","prepositions_lex","(","dict",")",":","prepositions","lexicon","pronouns_lex","(","dict",")",":","pronouns","lexicon","colors_lex","(","dict",")",":","colors","lexicon","negation_lex","(","dict",")",":","negation","terms","lexicon"]
code: def is_in_stop_list(self, term):
      return any(term in lexicon for lexicon in self.__dict__.values())
  
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 2 for calling the LoadAspectStopLists obj's underlying member method code with example usage: obj.is_in_stop_list(term) and returns: any