Sentiment Analysis - Movie Reviews
A machine learning project leveraging Natural Language Processing and Logistic Regression to classify sentiment in movie reviews. This project demonstrates data preprocessing, feature extraction, and model evaluation techniques.
PythonNLPLogistic RegressionScikit-learnPandas
View on GitHub →Project Overview
Implemented sentiment classification using Logistic Regression with TF-IDF vectorization. Achieved 85%+ accuracy on movie review dataset with proper train-test split and cross-validation.
Key Features
- ✓ TF-IDF Vectorization
- ✓ Logistic Regression (85% accuracy)
- ✓ Clean preprocessing pipeline
Tech Stack
Python
NLP
Logistic Regression
Scikit-learn
Pandas