- Dataset containing different movie reviews.
- Predicting whether a movie review is positive or negative.
- Used NLTK library for data cleaning.
- Used Classifiers such as Naive Bayes Classifier, Support Vector Classifier and Random Forest Classifier for training and testing data.
- Attaining maximum accuracy of 84.4% using Support Vector Classifier.
-
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Predicting whether a movie review is positive or negative - using SVC - 84.4% accuracy
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