docstr: Update the analyzer with value and its corresponding label
  
  Args:
      value: categorical value
      label: corresponding label for the categorical value
docstr_tok: ["Update","the","analyzer","with","value","and","its","corresponding","label","Args",":","value",":","categorical","value","label",":","corresponding","label","for","the","categorical","value"]
code: def feed(self, value: Union[str, int], label: Union[str, int]):
      """
      Update the analyzer with value and its corresponding label
  
      Args:
          value: categorical value
          label: corresponding label for the categorical value
      """
      if label not in self._label_analyzer:
          self._label_analyzer[label] = deepcopy(
              self._analyzer_cls_sample
          )
      self._label_analyzer[label].feed(value)
      self._all_analyzer.feed(value)
  
file_path: contextual-ai/xai/data/explorer/text/labelled_text_analyzer.py
imports: from copy import deepcopy
  from nltk.tokenize import word_tokenize
  from typing import Callable, Optional, Dict, List, Set
  from typing import Tuple, Union
  from xai.data.constants import TermFrequencyType
  from xai.data.explorer.abstract_labelled_analyzer import AbstractLabelledDataAnalyzer
  from xai.data.explorer.text.text_analyzer import TextDataAnalyzer
  from xai.data.explorer.text.text_stats import TextStats
label_desc: Use image node_id 2 for calling the LabelledTextDataAnalyzer obj's underlying member method code with example usage: obj.feed(value, label) without return types