Movie Review Sentiment Analysis
Project Information
View on GitHub- Category: Machine Learning
- Technologies: Scikit-learn Numpy Pandas Flask
- Project Date: February 2024
- Dataset: IMDB Reviews
- Accuracy: 89.2% on test set
Movie Review Sentiment Analysis
A machine learning model that classifies movie reviews as positive or negative with high accuracy.
Technical Approach
- Trained on 50,000 reviews dataset
- Custom word embeddings trained on movie-specific corpus
- Implemented using TF-IDF and Logistic Regression
- Deployed as a Flask web application
Key Features
- Real-time sentiment prediction API
- Interactive visualization of sentiment trends
- Batch processing for large datasets
- Model performance metrics dashboard
Video Demonstration
See the Sentiment Analysis Identification system in action
This demonstration shows the complete workflow of the Sentiment Analysis system.