class_docstr: Intent classifier using simple keyword matching.
  
  The classifier takes a list of keywords and associated intents as an input.
  An input sentence is checked for the keywords and the intent is returned.
class_docstr_tok: ["Intent","classifier","using","simple","keyword","matching",".","The","classifier","takes","a","list","of","keywords","and","associated","intents","as","an","input",".","An","input","sentence","is","checked","for","the","keywords","and","the","intent","is","returned","."]
docstr: The component's default config (see parent class for full docstring).
docstr_tok: ["The","component","'s","default","config","(","see","parent","class","for","full","docstring",")","."]
code: def get_default_config() -> Dict[Text, Any]:
      """The component's default config (see parent class for full docstring)."""
      return {"case_sensitive": True}
  
imports: from __future__ import annotations
  import logging
  import re
  from typing import Any, Dict, Optional, Text, List
  from rasa.engine.graph import GraphComponent, ExecutionContext
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.shared.constants import DOCS_URL_COMPONENTS
  from rasa.nlu.classifiers.classifier import IntentClassifier
  from rasa.shared.nlu.constants import INTENT, TEXT, INTENT_NAME_KEY, PREDICTED_CONFIDENCE_KEY
  import rasa.shared.utils.io
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.training_data.message import Message
label_desc: Use image node_id 1 for calling the KeywordIntentClassifier obj's underlying member method code with example usage: obj.get_default_config() and returns: dict