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The main objective of this project is to sentiment classification of the news headlines of the digital newspaper. And also, the user can see the news of different sections of the newspaper through beautiful user interface. User can see the news of business, sports, National, International and also tech news with the live sentiment classification.

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tejasjbansal/Sentiment-Classification-of-News-Headlines

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Sentiment Classification of News Headlines

The main objective of this project is to sentiment classification of the news headlines of the digital newspaper. And also, the user can see the news of different sections of the newspaper through beautiful user interface. User can see the news of business, sports, National, International and also tech news with the live sentiment classification.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

Requires Python 3.7+ and pip.

Check requirements.txt for details, or run the following command:

pip install -r requirements.txt

or

pip3 install -r requirements.txt

Deployment

Run the app.py file using python

OR

Run this in Command Prompt (CMD)/ Terminal

python app.py

or

python3 app.py

Live Demo

URL : https://newssentiment01.herokuapp.com/

Dataset Kaggel

https://www.kaggle.com/therohk/million-headlines

Thanks!

Let me know of more updates you'd like to see and also if you see bugs!

About

The main objective of this project is to sentiment classification of the news headlines of the digital newspaper. And also, the user can see the news of different sections of the newspaper through beautiful user interface. User can see the news of business, sports, National, International and also tech news with the live sentiment classification.

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