Sentiment analysis of IMDb movie reviews

[Added from university GitHub enterprise]

Goal

To analyze and find(classify) the sentiment, positive or negative, associated to a movie review.

Technologies used

Python 3.x, Anaconda 3.x, Jupyter Notebook, Spyder

Algorithms used:

• Logistic regression
• Multinomial Naive Bayes
• Decision Tree
• Random forest
• SVM
• Ensemble learning
  • Different Weights
• Neural Networks

Dataset

The dataset is obtained from the Stanford dataset repository and modified a bit, which can be found here.