Sentiment Analysis Using Logistic Regression

Project Overview

This project leverages a logistic regression model to classify sentiment in movie reviews from the IMDb dataset. Preprocessed Bag-of-Words features are used, and performance is evaluated with 5-fold cross-validation. This project includes additional preprocessing enhancements for improved model performance.

Key Outcomes

• Developed a logistic regression model for sentiment classification.
• Implemented Bag-of-Words feature engineering with text preprocessing.
• Achieved high accuracy through 5-fold cross-validation.

Tools and Libraries

• Python
• Scikit-learn
• NLTK
• Pandas
• NumPy
• Matplotlib
• Seaborn

Additional Features

A detailed annotated file explains the extended preprocessing pipeline and other implementation details. Click the link below to access it:

View Annotated Details

View the Code

Click the link below to view the full code and documentation for this project on GitHub:

View on GitHub