Machine Learning Techniques to Classify Movies Based on Reviews
Abstract
Movie reviews help viewers decide whether to watch the movie based on detailed reviews with analysis by other viewers and experts. It is an important indicator for the audience as a guiding choice amidst vast entertainment options. This paper aims to analyze movie reviews and examine the accuracies of different machine learning algorithms. The review data is pre-processed to transform into a format suitable to the model. We feed this pre-processed data to various models for the best possible outcome. It was observed that the support vector machine yields good results for the datasets considered. Furthermore, k-fold cross-validation is carried out to compare and check the efficiency of various models.