Skip to content

Latest commit

Β 

History

3 Commits

Folders and files

NameName
Last commit message
Last commit date
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

Sentiment Analysis

🎬 Sentiment Analysis with Machine Learning

πŸ“Œ Project Overview

This project predicts whether a text review is positive or negative using:

  • TF-IDF Vectorization for text preprocessing
  • Logistic Regression for classification

The dataset is taken from scikit-learn (20 Newsgroups sample).


⚑ Features

  • Clean project structure
  • Preprocessing with TF-IDF
  • Binary classification (positive/negative sentiment)
  • Accuracy evaluation with classification report

πŸš€ Installation & Setup

# Clone the repository
git clone https://github.com/<your-username>/sentiment-analysis.git
cd sentiment-analysis

# Create virtual environment
python -m venv venv
venv\Scripts\activate    # Windows
source venv/bin/activate # Mac/Linux

# Install dependencies
pip install -r requirements.txt

About

A simple machine learning project to classify text reviews as positive or negative using TF-IDF and Logistic Regression.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages