class_docstr: Give a sentiment intensity score to sentences.
class_docstr_tok: ["Give","a","sentiment","intensity","score","to","sentences","."]
code: def __init__(
      self,
      lexicon_file="vader_lexicon.txt",
      emoji_lexicon="emoji_utf8_lexicon.txt",
  ):
      _this_module_file_path_ = os.path.abspath(
          getsourcefile(lambda: 0)
      )
      lexicon_full_filepath = os.path.join(
          os.path.dirname(_this_module_file_path_), lexicon_file
      )
      with codecs.open(lexicon_full_filepath, encoding="utf-8") as f:
          self.lexicon_full_filepath = f.read()
      self.lexicon = self.make_lex_dict()
  
      emoji_full_filepath = os.path.join(
          os.path.dirname(_this_module_file_path_), emoji_lexicon
      )
      with codecs.open(emoji_full_filepath, encoding="utf-8") as f:
          self.emoji_full_filepath = f.read()
      self.emojis = self.make_emoji_dict()
  
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 1 to create a new SentimentIntensityAnalyzer object from inherited base classes: object with example: obj = SentimentIntensityAnalyzer(lexicon_file, emoji_lexicon)