splAcharya/Imdb_Reviews_Sentiment_Analysis

Sentiment Analysis of IMDB movie reviews using CLassical Machine Learning Algorithms, Ensemble of CLassical Machine Learning Algorithms and Deep Learning using Tensorflow Keras Framework.

Imdb_Reviews_Sentiment_Analysis

Sentiment Analysis of IMDB movie reviews using CLassical Machine Learning Algorithms, Ensemble of CLassical Machine Learning Algorithms Movie Rating Generator Using 10 Classifiers. Added a Deep learning version which uses Bidirectional LSTM for Binary Classification.

Deployed Web App

The models trained here were exported and deployed as a Web App using Django in Heroku. Check this repo for the deployed app: https://github.com/splAcharya/Movie_Review_Ranker

Libraries used so far: Scikit-learn, Pandas, WordCloud, NumPy, nltk, textblob, Tensorflow, Matplotlib

CLass Balance

Word Cloud Before PreProcessing

Word Cloud After PreProcessing

Movie Review Before PreProcessing

Movie Review After PreProcessing

Top Words in Trainning Set

Confusion Matrices of all 10 Classifiers

Precision-Recall Curves of all 10 Classifiers

ROC Curves of all 10 Classifiers

Perfromance Summary of all 10 Classifers

Movie Review Rating Generate Result 1

Movie Review Rating Generate Result 2