LaughTrack

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LaughTrack is a new website launched by Ben Webster and Nathan Sampimon that tracks and analyzes sentiment in tweets about comedy shows and performers. It uses Ruby on Rails with additional tools like CouchDB, Machinist and Formtastic. Sentiment analysis is difficult due to ambiguities from sarcasm, typos and slang, but the site aims to filter irrelevant tweets and identify only the important parts about reviews through techniques like identifying key words, emoticons and common misspellings. The code is open source on GitHub for others to contribute to improving the sentiment analysis.

Technology

Pat Allan
http://twitter.com/pat
http://freelancing-gods.com

Melbourne International
Comedy Festival
http://www.comedyfestival.com.au

Sphinx &
Thinking Sphinx
http://ts.freelancing-gods.com

Bundler 0.9.10
http://github.com/carlhuda/bundler

Machinist
http://github.com/notahat/machinist

Formtastic
http://github.com/justinfrench/formtastic

Sprinkle &
Passenger Stack
http://github.com/crafterm/sprinkle
http://github.com/benschwarz/passenger-stack

• Jan Lenhardt • Ben Schwarz
• Lena Herrmann • Lincoln Stoll
• Alexander Lang • Paul Campbell

Pedantic
http://github.com/freelancing-god/pedantic

Common Words
a an and as but by how I if in my no now of to

Not tweets that you’re
about to see a show

Open Source
http://github.com/freelancing-god/laughtrack

Are you interested in Machine Learning, Natural Language Processing (NLP), Deep Learning and similar stuff? Have a look at various applications of the "smart technologies". Get inspired by online demos, blogs, tools and more. The presentation "Demo Meetup" was used (in a slightly modified version) during my talk at Machine Learning Meetup at Prague. Several links I had got after the talk were added to the slides.

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