Word on the Tweet

Word on the tweet is a twitter dashboard that allows you to see what the world is thinking about an issue. Tweets are pulled in from twitter and analyzed for positive or negative sentiments.

Live Demo: http://reedlabotz.github.com/wordonthetweet

Dependencies

To publish the code doesn't require anything special. Just copy files from gh-pages branch to your server. To use the rake commands, you will need the following.

npm install -g coffee-script coffee-toaster

Develope

To watch the coffee script and compile

rake watch

A simple python server running on http://localhost:8000

rake server

Clean up files

rake clean

Publish

To copy relevant files from current branch to gh-pages

rake publish && git push origin gh-pages

Links

• AFINN bag of words - http://fnielsen.posterous.com/simplest-sentiment-analysis-in-python-with-af

• Sanders Twitter Sentiment Corpus - http://www.sananalytics.com/lab/twitter-sentiment/

• Twitter sentiment - https://sites.google.com/site/twittersentimenthelp/home

• Naive bayes classifier - https://github.com/sonesuke/classifier

• Timeago javascritp library - http://timeago.yarp.com/

• Enhanced jQuery animations - http://github.com/benbarnett/jQuery-Animate-Enhanced

• Twitter bootstrap - http://twitter.github.com/bootstrap/

• Icon Fonts - http://fortawesome.github.com/Font-Awesome

• jQuery - http://jquery.com/