title: Python VADER lexicon Structure for sentiment analysis
body: <p>I am using the VADER sentiment lexicon in Python's nltk library to analyze text sentiment.  This lexicon does not suit my domain well, and so I wanted to add my own sentiment scores to various words.  So, I got my hands on the lexicon text file (vader_lexicon.txt) to do just that.  However, I do not understand the architecture of this file well.  For example, a word like obliterate will have the following data in the text file: 
      obliterate  -2.9    0.83066 [-3, -4, -3, -3, -3, -3, -2, -1, -4, -3]</p>
  
  <p>Clearly the -2.9 is the average of sentiment scores in the list.  But what does the 0.83066 represent?</p>
  
  <p>Thanks!</p>