class_docstr: Defines the top-level RAITextInsights API.
  
  Use RAITextInsights to assess text machine learning models in a
  single API.
class_docstr_tok: ["Defines","the","top-level","RAITextInsights","API",".","Use","RAITextInsights","to","assess","text","machine","learning","models","in","a","single","API","."]
docstr: Normalize the text.
  
  Removing articles and punctuation, and standardizing whitespace
  are all typical text processing steps.
  
  :param s: The text to normalize.
  :type s: str
  :return: The normalized text.
  :rtype: str
docstr_tok: ["Normalize","the","text",".","Removing","articles","and","punctuation",",","and","standardizing","whitespace","are","all","typical","text","processing","steps",".",":","param","s",":","The","text","to","normalize",".",":","type","s",":","str",":","return",":","The","normalized","text",".",":","rtype",":","str"]
code: def normalize_text(self, s):
      """Normalize the text.
  
      Removing articles and punctuation, and standardizing whitespace
      are all typical text processing steps.
  
      :param s: The text to normalize.
      :type s: str
      :return: The normalized text.
      :rtype: str
      """
      import re
      import string
  
      def remove_articles(text):
          regex = re.compile(r"\b(a|an|the)\b", re.UNICODE)
          return re.sub(regex, " ", text)
  
      def white_space_fix(text):
          return " ".join(text.split())
  
      def remove_punc(text):
          exclude = set(string.punctuation)
          return "".join(ch for ch in text if ch not in exclude)
  
      def lower(text):
          return text.lower()
  
      return white_space_fix(remove_articles(remove_punc(lower(s))))
  
imports: import json
  import logging
  import pickle
  import warnings
  from enum import Enum
  from pathlib import Path
  from typing import Any, List, Optional, Union
  import numpy
  import pandas
  from ml_wrappers import wrap_model
  from erroranalysis._internal.cohort_filter import FilterDataWithCohortFilters
  from raiutils.data_processing import convert_to_list, serialize_json_safe
  from raiutils.models import SKLearn, is_classifier
  from responsibleai._interfaces import Dataset, RAIInsightsData
  from responsibleai._internal.constants import ManagerNames, Metadata, SerializationAttributes
  from responsibleai.exceptions import UserConfigValidationException
  from responsibleai.feature_metadata import FeatureMetadata
  from responsibleai.rai_insights.rai_base_insights import RAIBaseInsights
  from responsibleai_text.common.constants import ModelTask
  from responsibleai_text.managers.error_analysis_manager import ErrorAnalysisManager
  from responsibleai_text.managers.explainer_manager import ExplainerManager
  from responsibleai_text.utils.feature_extractors import extract_features, get_text_columns
label_desc: Use image node_id 23 for calling the RAITextInsights obj's underlying member method code with example usage: obj.normalize_text(s) and returns: white_space_fix, re, str, str, text