class_docstr: Abstract base class from which all sentiment analyzers inherit.
  Should implement an ``analyze(text)`` method which returns either the
  results of analysis.
docstr: Return the result of of analysis. Typically returns either a
  tuple, float, or dictionary.
docstr_tok: ["Return","the","result","of","of","analysis",".","Typically","returns","either","a","tuple",",","float",",","or","dictionary","."]
code: def analyze(self, text):
      """Return the result of of analysis. Typically returns either a
      tuple, float, or dictionary.
      """
      # Lazily train the classifier
      if not self._trained:
          self.train()
      # Analyze text
      return None
  
imports: from __future__ import absolute_import
  from abc import ABCMeta, abstractmethod
  import nltk
  from textblob.compat import with_metaclass
label_desc: Use image node_id 3 for calling the BaseSentimentAnalyzer obj's underlying member method code with example usage: obj.analyze(text) and returns: None