vader_analyzer.py

from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
class VaderAnalyzer():
    def analyze(self, sentence):
        # Create a SentimentIntensityAnalyzer object.
        sid_obj = SentimentIntensityAnalyzer()

        # polarity_scores method of SentimentIntensityAnalyzer
        # object gives a sentiment dictionary.
        # which contains pos, neg, neu, and compound scores.
        sentiment_dict = sid_obj.polarity_scores(sentence)

        # print("Overall sentiment dictionary is : ", sentiment_dict)
        # print("sentence was rated as ", sentiment_dict['neg'] * 100, "% Negative")
        # print("sentence was rated as ", sentiment_dict['neu'] * 100, "% Neutral")
        # print("sentence was rated as ", sentiment_dict['pos'] * 100, "% Positive")
        #
        # print("Sentence Overall Rated As", end=" ")
        #
        # # decide sentiment as positive, negative and neutral
        # if sentiment_dict['compound'] >= 0.05:
        #     print("Positive")
        #
        # elif sentiment_dict['compound'] <= - 0.05:
        #     print("Negative")
        #
        # else:
        #     print("Neutral")
        return sentiment_dict