Search for tweets and perform basic sentiment analysis.

This is a web-app made with django using tweepy and nltk to analyze tweets on searched topic.

To run locally, it is assumed that you have python installed on your system.

1. Create a virtual environment. virtualenv venv
2. Activate venv. venv\scripts\activate.bat
3. Install the requirements. pip install -r requirements.txt
4. Get the SECRET_KEY, ACCESS_TOKEN, ACCESS_TOKEN_SECRET, CONSUMER_KEY, CONSUMER_SECRET from here here and set it manually in twitSent\settings.py and website\views.py.
5. Run the server. python manage.py runserver

• Read this to learn deployment of django applications on heroku.
• Save the SECRET_KEY, ACCESS_TOKEN, ACCESS_TOKEN_SECRET, CONSUMER_KEY, CONSUMER_SECRET as environment variables. Follow this official documentation for help.

• Provide option to export data in desired format
• Sharing option for individual tweets
• Filtering of tweets based on nature of it
• Make it a Single Page Application
• Implement Angular with Django