vader_test.py

# 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("\nOverall 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") 

 
sentence = "At this pace of product development, community growth, extensions growth, I can't imagine other editors like Sublime and Atom can keep it up." 
print(sentence)
sentiment_scores(sentence)