Sentiment Analysis with Naive Bayes

• Naive Bayes
• Add-1 smoothing
• 10-fold cross validation
• regular expression detecting negation words

Besides the regular Naive Bayes method, the code also realized:

• Boolean Naive Bayes
• Naive Bayes with stop word
• Naive Bayes with negation features (not, never, n't)

Accuracy:

• Regualr NB: 81.65%
• Boolean NB: 73.85%
• NB with stop word filterd: 81.10%
• NB with negation features: 81.80%

Support Vector Machine:

• sklearn LinearSVC
• 10-fold cross validation
• accuracy 88.45%