OPINION MINING IN TWEETS
Problem
Tweets data gathered in 4 months were subjected to opinion mining and hashtag polarity examination.
Solution
SVG, Naïve Bayes and ID3 models were used for classification, aided by the bag-of-words feature extraction technique.
Results
SVM classification: 73.67% accuracy, Naïve Bayes classification: 71.01% accuracy and ID3 classification: 67.08% accuracy.
