Created
February 10, 2019 15:48
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from nltk.sentiment.vader import SentimentIntensityAnalyzer | |
sid = SentimentIntensityAnalyzer() | |
def get_sentiment(sentence): | |
sentiment_score = sid.polarity_scores(sentence) | |
positive_meter = round((sentiment_score['pos'] * 10), 2) | |
negative_meter = round((sentiment_score['neg'] * 10), 2) | |
return positive_meter, negative_meter | |
sentence = """ | |
Jenny is one of the most dedicated and persistent software developers that I have encountered. She has a laser focus on quality and timelines, and can be counted on to deliver without fail. | |
Jenny is a person with razor sharp focus and very high dedication. She is very hard working and keeps detailed knowledge of whatever she is working on. She is also an advocate of technical/business improvements whenever she finds one. Overall she proved to be a valuable asset to the team. We used to keep looking to her for any detail on our platform - Just name it and she knows it. | |
""" | |
positive_meter, negative_meter = get_sentiment(sentence) | |
print("Positive", positive_meter) | |
print("Negative", negative_meter) |
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