Sentiment-Analysis-VADER/Sentiment_analysis.py at main · Sathyabyte/Sentiment-Analysis-VADER · GitHub

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from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer


def sentiment_scores(sentence):
    sid_obj = SentimentIntensityAnalyzer()

    sentiment_dict = sid_obj.polarity_scores(sentence)

    print("\nSentiment Scores:")
    print(sentiment_dict)

    print(f"Negative: {sentiment_dict['neg'] * 100:.2f}%")
    print(f"Neutral: {sentiment_dict['neu'] * 100:.2f}%")
    print(f"Positive: {sentiment_dict['pos'] * 100:.2f}%")

    if sentiment_dict['compound'] >= 0.05:
        print("Overall Sentiment: Positive 😊")

    elif sentiment_dict['compound'] <= -0.05:
        print("Overall Sentiment: Negative 😞")

    else:
        print("Overall Sentiment: Neutral 😐")


if __name__ == "__main__":

    print("💬 Sentiment Analysis using VADER")
    print("Type 'quit' to exit.")

    while True:
        sentence = input("\nEnter a sentence: ")

        if sentence.lower() == "quit":
            print("Exiting Sentiment Analyzer...")
            break

        sentiment_scores(sentence)