class_docstr: Aspect term.
  
  Attributes:
      terms (list): list of terms
      pos (list): list of pos
class_docstr_tok: ["Aspect","term",".","Attributes",":","terms","(","list",")",":","list","of","terms","pos","(","list",")",":","list","of","pos"]
docstr: Args:
      terms (list): list of terms
      pos (list): list of pos
docstr_tok: ["Args",":","terms","(","list",")",":","list","of","terms","pos","(","list",")",":","list","of","pos"]
code: def __init__(self, terms, pos, lemmas):
      """
      Args:
          terms (list): list of terms
          pos (list): list of pos
      """
      self.terms = terms
      self.lemmas = lemmas
      self.pos = pos
  
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 1 to create a new AspectTerm object from inherited base classes: object with example: obj = AspectTerm(terms, pos, lemmas)