class_docstr: Class for text cleaning (lemmatization and stemming) operation 
class_docstr_tok: ["Class","for","text","cleaning","(","lemmatization","and","stemming",")","operation"]
code: def language(self) -> str:
      return self.params.setdefault("language", "english")
  
file_path: FEDOT/fedot/core/operations/evaluation/operation_implementations/data_operations/text_preprocessing.py
imports: import re
  from typing import Optional
  import numpy
  from golem.utilities.requirements_notificator import warn_requirement
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.core.operations.evaluation.operation_implementations.implementation_interfaces import DataOperationImplementation
  from fedot.core.repository.dataset_types import DataTypesEnum
label_desc: Use image node_id 2 for calling the TextCleanImplementation obj's underlying member method code with example usage: obj.language() and returns: self