Sentiment Quiz: Playing On Facebook

A good way to find people for playing your game is to put it on the social network: And what can be better and more effective than Facebook?!
Sentiment Quiz exploits human intelligence for providing words' collocations. A player should choose if the word written is positive, very positive, negative, very negative or neutral. If his choice matches with the answers of other players, he will get points and a small icon depicting him tries to get ahead of his concurents. The game is available in 7 languages: English, German, French, Spanish, Italian, Portuguese and Russian. One can win DVD from movie collection if he gets the most points.

Design of the game leaves somehow much to be desired. In comparison with the GWAP, it is not so colourful and competetive. There is also no time restriction: you can play as long as you wish.
The results will be used for some scientific research. I think, something in SentiWordNet style or opinion mining. Maybe also lexical functions or machine translations.
Somehow, the Sentiment Quiz team have recently gathered 98% evaluated terms. Within this period 5540 players helped evaluating terms from different languages!!! Sounds amazing!!!

The Web knows what you feel

"We feel fine!" explors human emotions on the Web. If you have written in your LiveJournal, MSN Spaces, MySpace, Blogger, Flickr, Technorati, Feedster, Ice Rocket, etc. what you feel or what you are feeling in this moment, your feeling could also be crawled by "We feel fine!"
15000-20000 new feelings a day and over 12 million feelings since 2005.


"We feel fine" contains about 5000 pre-defined feelings. When the crawler finds a phrase "I feel/ I am feeling", it records the full sentence, up to the period, and identifies the "feeling" expressed in that sentence (e.g. sad, happy, depressed, etc.). Because blogs are structured in largely standard ways, the age, gender, and geographical location of the author can often be extracted and saved along with the sentence, as can the local weather conditions at the time the sentence was written as well as images. All of this information is saved and then the statistics about feelings is provided.

Now you can even buy the book "We Feel Fine: An Almanac of Human Emotion"

This is an approach that was inspired by techniques used in Listening Post, a wonderful project by Ben Rubin and Mark Hansen.

Another collection of tools investigating the mood on the Web is provided by MoodViews