docstr: Load personalized dict to improve detect rate.
  Args:
      user_dict(str): A plain text file path. It contains words and their ocurrences. Can be a file-like object, or the path of the dictionary file,
      whose encoding must be utf-8.
          Structure of dict file:
              word1 freq1 word_type1
              word2 freq2 word_type2
              ...
  
          Word type may be ignored
docstr_tok: ["Load","personalized","dict","to","improve","detect","rate",".","Args",":","user_dict","(","str",")",":","A","plain","text","file","path",".","It","contains","words","and","their","ocurrences",".","Can","be","a","file-like","object",",","or","the","path","of","the","dictionary","file",",","whose","encoding","must","be","utf-8",".","Structure","of","dict","file",":","word1","freq1","word_type1","word2","freq2","word_type2","...","Word","type","may","be","ignored"]
code: def load_userdict(self, user_dict):
      """
      Load personalized dict to improve detect rate.
      Args:
          user_dict(str): A plain text file path. It contains words and their ocurrences. Can be a file-like object, or the path of the dictionary file,
          whose encoding must be utf-8.
              Structure of dict file:
                  word1 freq1 word_type1
                  word2 freq2 word_type2
                  ...
  
              Word type may be ignored
      """
      self.check_dependency()
      import jieba
  
      jieba.setLogLevel(logging.ERROR)
      jieba.load_userdict("userdict.txt")
  
file_path: PaddleHub/modules/text/lexical_analysis/jieba_paddle/module.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import logging
  import os
  import paddlehub
  from paddlehub.common.logger import logger
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import serving
label_desc: Use image node_id 6 for calling the JiebaPaddle obj's underlying member method code with example usage: obj.load_userdict(user_dict) without return types