antoniotexas/news-bias-analyzer

News Bias Analyzer

Our CSCE 470 Project

Features

Given a list of preselected relevent politicians, it analyzes how biased news outlets are towards those individuals.

How to Use

To use this project, follow these steps:

1. clone the application with git clone https://github.tamu.edu/guillermo-lopez6988/NewsBiasAnalyzer.git
2. Install Django ($ sudo pip install django)
3. Install whitenoise ($ sudo pip install whitenoise)
4. Install dj-database-url ($ sudo pip install dj-database-url)
5. Install rest framework ($ sudo pip install djangorestframework)
6. Install newspaper3k ($ sudo pip3 install newspaper3k)

running locally

In case you want to run your Django application from the terminal just run: Run syncdb command to sync models to database and create Django’s default superuser and auth system

$ python manage.py migrate
$ python manage.py runserver $IP:$PORT

In cloud 9: To change the version of python from 2 to 3 (needed for newspaper3k)

$ sudo mv /usr/bin/python /usr/bin/python2
$ sudo ln -s /usr/bin/python3 /usr/bin/python

To verify python version was succesfully changed $ python --version

Install django again to make it compatible with python 3 $ sudo pip3 install django

The projected can be found at:

https://new-bias-analyzer.herokuapp.com/

Deployment to Heroku

$ git init
$ git add -A
$ git commit -m "Initial commit"

$ heroku create
$ git push heroku master

$ heroku run python manage.py migrate

add nlp to heroku 
nltk.txt tells heroku which corpora to download.

License: MIT

Further Reading

• Gunicorn
• WhiteNoise
• dj-database-url

Code Retrieved From Internet:

• Material Design Checkbox Example