class_docstr: Storage Structure of Topic model, including vocabulary and word topic count.
      
docstr: Return value of specific word under specific topic in the model.
          
docstr_tok: ["Return","value","of","specific","word","under","specific","topic","in","the","model","."]
code: def word_topic_value(self, word_id, topic_id):
      """Return value of specific word under specific topic in the model."""
      word_dict = self.__word_topic[word_id]
      if topic_id not in word_dict:
          return 0
      return word_dict[topic_id]
  
imports: import os
  from collections import OrderedDict
  import numpy
  from tqdm import tqdm
  from paddlehub.common.logger import logger
  from lda_news.vocab import Vocab, WordCount
label_desc: Use image node_id 4 for calling the TopicModel obj's underlying member method code with example usage: obj.word_topic_value(word_id, topic_id) and returns: word_dict, int