Sentiment_Analyzer/sentiments.py at master · Rohini13/Sentiment_Analyzer · GitHub

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# import SentimentIntensityAnalyzer class
# from vaderSentiment.vaderSentiment module.
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer

# function to print sentiments
# of the sentence.
def sentiment_scores(sentence):

    # Create a SentimentIntensityAnalyzer object.
    sid_obj = SentimentIntensityAnalyzer()

    # polarity_scores method of SentimentIntensityAnalyzer
    # oject 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")

    # 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")


# Driver code
if __name__ == "__main__" :

    print("\n1st statement :")
    sentence = "Geeks For Geeks is the best portal for the computer science engineering students."

    # function calling
    sentiment_scores(sentence)

    print("\n2nd Statement :")
    sentence = "study is going on as usual"
    sentiment_scores(sentence)

    print("\n3rd Statement :")
    sentence = "I am vey sad today."
    sentiment_scores(sentence)