The dataset can be download from here:https://github.com/unt-iialab/info5731_spring2021/blob/main/class_exercises/exercise09_datacollection.zip. The dataset contains two files train data and test data for sentiment analysis in IMDB review, it has two categories: 1 represents positive and 0 represents negative. You need to split the training data into training and validate data (80% for training and 20% for validation,https://towardsdatascience.com/train-test-split-and-cross-validation-in-python-80b61beca4b6) and perform 10 fold cross validation while training the classifier. The final trained model was final evaluated on the test data.

Algorithms:

(1) MultinominalNB

(2) SVM

(3) KNN

(4) Decision tree

(5) Random Forest

(6) XGBoost

Evaluation measurement:

(1) Accuracy

(2) Recall

(3) Precison

(4) F-1 score