Some time ago a little boy went to the dentist with his father to do a surgery in one of his teeth. The dentist gave him an extra dosage of medicine and the boy became dizzy. His father took a camera and filmed his child in that situation, doing and saying funny things. The video was on YouTube and it had a great audience. However, the video was polemic because it gave the impression the father was exploring a worse image of his son. Thousands of people produced content on the web about this episode, good and bad, mainly emphasizing the sentences said by the little boy, like: "Why is this happening to me?", "Is this real life?", "Is it going to be forever?" and the remarkable one: "I feel funny!".

This last sentence makes me remember about a research carried out by Jonathan Harris and Sep Kamvar. They created the website wefeelfine.org that aims to explore blog contents all over the world extracting sentences that contain "I feel" or "I'm feeling". They try to extract meanings from those sentences, combine with the user profile (age, sex, location, etc) and deduce the user mood. They actually combine elements of computer science, anthropology, visual art and storytelling to infer the user mood.