News Headlines Classifier

A python console application for Sentiment Classification of News Headlines using Multinomial Naive Bayes classifier which is suitable for text classification.

Classes of Sentiment

Two classes: Negative(-1) and Positive(1).

Installation Steps

  1. Clone the repository
git clone https://github.com/AviSharmaaa/Sentiment_Classification_of_News_Headlines.git
  1. Change the working directory
cd Sentiment_Classification_of_News_Headlines
  1. Install dependencies
pip install -r requirements.txt
  1. Run the app
python main.py

License

This project is licensed under the MIT License - see the LICENSE file for details.