vader_sentiment.py

def Chapter_Sentiment(Chapter_Text):
    def Average(lst):
        return float(sum(lst)) / len(lst)
    sid = SentimentIntensityAnalyzer()
    sentences = Chapter_Text.split('.')
    sentiment_scores = []
    for item in sentences:
        sentiment = sid.polarity_scores(item)
        sentiment_value = sentiment['compound']
        sentiment_scores.append(sentiment_value)
    return(Average(sentiment_scores))