AI

Question 7 For the sentiment classification dataset: Divide the data randomly to 50% training and 50% testing. (a) Use the TF-IDF bag-of-words approach to extract a feature vector for each sentence (after you do your choice of cleaning the data) (b) Compare between logistic regression and SVM (divide the data randomly to 50% Training and 50% testing) and report the results on both the training data and the test data (show the % correct for each class using each classifier) Question 7 For the sentiment classification dataset: Divide the data randomly to 50% training and 50% testing. (a) Use the TF-IDF bag-of-words approach to extract a feature vector for each sentence (after you do your choice of cleaning the data) (b) Compare between logistic regression and SVM (divide the data randomly to 50% Training and 50% testing) and report the results on both the training data and the test data (show the % correct for each class using each classifier)