twitter-sentiment-analysis

A novice's implementation of real-time twitter sentiment analysis.

A working, live demo is available here: https://vishwajeetv.com/twitter

Here's an informal blog post explaining how this is built : https://www.vishwajeetv.com/how-did-i-built-real-time-twitter-sentiment-analyser/

Demo Video - https://youtu.be/YEaFMTN4BlU

Built with:

• NodeJS (REST API with Sails.js)
• MongoDB
• Twitter API
• sentiment (nodejs tool for sentiment analysis - AFINN based)
• natural (Nodejs NLP toolkit)
• AngularJS (frontend)
• Firebase (real-time data storage / updation PaaS), AngularFire

How to run

• Obtain Twitter API usage tokens from Twitter API dashboard, set them in config.json
• Create database 'twitter' in MongoDB
• Run cd twitter && sails lift
• Run cd ../frontend && npm install && bower install
• Run grunt serve

TODO

• Daemon to fetch 100 tweets and saving them whenever allowed.

Notes

• For production setup, do this echo fs.inotify.max_user_watches=524288 | sudo tee -a /etc/sysctl.conf && sudo sysctl -p
• To install sails, use this sudo npm install --unsafe-perm --verbose -g sails
• To start the production server, use forever start app.js --prod