Want to know how to perform sentiment analysis and machine learning on movie reviews dataset? This tutorial uses the IMDB movie reviews dataset containing 50k movie reviews to create a sentiment analysis and machine learning model. The dataset is highly balanced and consists of 25,000 highly polar positive and negative movie reviews. The various machine learning classifiers used in this project include Logistic Regression, Multinominal Naive Bayes and Linear Support Vector Classifiers.
To see a detaild video explanation on this topic, check out the following link: https://www.youtube.com/watch?v=yK9Ya6KzVAg&list=PLNohRKRAHaszuDbT6oSNhD91kpqI18G7d&index=11