SentimentalHackerNews is a django project to detect sentiments of titles of trending hacker news stories.
Project is created with:
- Django==2.2.3
- aylien_apiclient==0.7.0
- django_apscheduler==0.3.0
- requests==2.22.0
- APScheduler==3.6.1
- python-dotenv==0.10.3
- gunicorn==19.9.0
To use this app locally, follow these steps:
- Clone the project
- Install requirements using
pip install -r requirements.txt - Make migrations
python manage.py makemigrations - Migrate
python manage.py migrate - Run
python manage.py runserver - Default access on browser via
http://127.0.0.1:8000/
- Sentimental Analysis using AYLIEN API
- Cron Job/Backgroud Task using django_apscheduler to update top story list after every 30 minutes
- Trending Stories list hacker news
- Partial Searching