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AnasAlmasri/SentimentAnalysis.py

Created February 13, 2019 01:56
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running the model
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SentimentAnalysis.py
NBResultLabels = [NBayesClassifier.classify(extract_features(tweet[0])) for tweet in preprocessedTestDataSet]
# get the majority vote
if NBResultLabels.count('positive') > NBResultLabels.count('negative'):
print("Overall Positive Sentiment")
print("Positive Sentiment Percentage = " + str(100*NBResultLabels.count('positive')/len(NBResultLabels)) + "%")
else:
print("Overall Negative Sentiment")
print("Negative Sentiment Percentage = " + str(100*NBResultLabels.count('negative')/len(NBResultLabels)) + "%")
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