Crowdsourcing felt emotions associated with social media posts
Crowdsourcing felt emotions associated with social media posts
About
How might short linguistic expressions help reveal our underlying emotional states? Our team is trying to find out. We’ve combined a crowdsourced tweet-rating tool with a website that displays a state-of-the-art sentiment classifier created by my colleagues. Our goal is to collect as many user-rated tweets as possible and to generate a validated emotion classification algorithm. If interested, help us out! This project is in collaboration with Bjarke Felbo, Holly Shablack, Kristen Lindquist and Iyad Rahwan.
Press Coverage
Cette machine sait reconnaître le sarcasme sur les réseaux sociaux mieux qu'un humain
EMOJI-FILLED MEAN TWEETS HELP SCIENTISTS CREATE SARCASM-DETECTING BOT THAT COULD UNCOVER HATE SPEECH
Emojis help software spot emotion and sarcasm
An algorithm trained on emoji knows when you're being sarcastic on twitter
An Algorithm Trained on Emoji Knows When You’re Being Sarcastic on Twitter
Oh, great. Robots can now tell when people are being sarcastic