class_docstr: Give a sentiment intensity score to sentences.
class_docstr_tok: ["Give","a","sentiment","intensity","score","to","sentences","."]
code: def _sentiment_laden_idioms_check(valence, senti_text_lower):
      # Future Work
      # check for sentiment laden idioms that don't contain a lexicon word
      idioms_valences = []
      for idiom in SENTIMENT_LADEN_IDIOMS:
          if idiom in senti_text_lower:
              print(idiom, senti_text_lower)
              valence = SENTIMENT_LADEN_IDIOMS[idiom]
              idioms_valences.append(valence)
      if len(idioms_valences) > 0:
          valence = sum(idioms_valences) / float(len(idioms_valences))
      return valence
  
imports: import os
  import re
  import math
  import string
  import codecs
  import json
  from itertools import product
  from inspect import getsourcefile
  from io import open
label_desc: Use image node_id 9 for calling the SentimentIntensityAnalyzer obj's underlying member method code with example usage: obj._sentiment_laden_idioms_check(valence, senti_text_lower) and returns: valence