Personal Project - Youtubers Sentiment
To run this project, you will need to add the following environment variables to a .env file at the root of the project
-
AWS_KEY
: Your aws key for S3 -
AWS_SECRET_KEY
: Your secret aws key for S3 -
AWS_CDN_URL
: Your static cdn url -
CACHE_USERNAME
: Operator of cache username -
CACHE_PASSWORD
: Password of cache service password
Clone the project
git clone https://github.com/dineshssdn-867/Sentiment_analysis_of_youtubers_webapp.git
Go to the project directory
cd Sentiment_analysis_of_youtubers
Create Environement and install dependencies
python m venv env
env\Scripts\activate
pip install -r requirements.txt
Make migrations and start the server
python manage.py makemigrations
python manage.py migrate
python manage.py runserver
You can register as a user(youtuber)
For Yotubers Channel Video's
- Get to know the info of emotions of channel videos in the time interval.
- Get to know the info of intents of channel videos in the time interval.
- Visualize results of emotions
- Get to know how this works
For Yotubers Video
- Get to know the info of emotions of individual videos.
- Get to know the info of intents of individual videos.
- Visualize results of emotions
- Get to know how this works
For Yotubers Video Comments
- Get to know the info of emotions of individual video comments.
- Get to know the info of intents of individual videos comments.
- Visualize results of emotions
- Get to know how this works
Frontend: HTML, CSS, JS, Bootstrap
Backend: Django, Firebase, Nginx, Caching Services, AWS Cloudfront
Dinesh Nariani 💻 📖 🎨 🚧 📆 |
This project follows the all-contributors specification. Contributions of any kind welcome!