NewsHarbor

• Overview
• Tech Used
• Usage
  • How it works
• Contributing
• license

Overview

News Harbor is a news platform that detects the sentiment of News articles. check out this demo

This is how the project workflow is:

Usage

How it works

• The user enters the news_article API_key; in this case i used my api key in the .env file in secrets folder which was loaded to the news_api_data.py file.

• The API is then used to fetch the news article from the news api, which returns a JSON. chcek the news_api_data.py file and the news_api_data.json file in core folder and data folder respectively.

• The JSON is then converted to a pandas dataframe and then the dataframe is sent to the sentiment analysis model. check the convert.py file in core folder.

• The sentiment analysis model returns the sentiment of the news article in a CSV file format. check the model.ipynb file in model folder. Note: Google Colab was used in running the sentiment analysis model.

• The sentiment in CSV is sent to the frontend.

• The frontend displays the sentiment of the news article. check the main.py file in the frontend folder.

Tech Used

• API: News API was used for the news feed Getting the news data for the model

• Hugging Face sentiment analysis model: Hugging Face was used for the sentiment analysis model

• Streamlit was used for the frontend of the project. Streamlit

Contributing

Knowing fully well that the project is not at its best state 😢. News Harbor is open to contribution from differents parts of the project.

License

NewsHarbor is licensed under the MIT License. Feel free to use, modify, and distribute the application according to the terms of this license.