Chatterbox Analytics (a spin-out company from Queen Mary, University of London) are pleased to announce the release of the new sentiment detection API for social texts. This API is designed specifically to classify short social messages, such as tweets, into positive or negative categories. The system uses advanced statistical models trained (they have partnered with Intel to use their super computer for model training) on 68 million tweets, meaning the detection can handle slang, common misspellings, emoticons, hashtags, etc.
The API comes in two flavors, a free version and a paid-for version which gives users more flexibility; the system currently supports English, French, Spanish, Portuguese and Dutch.
All the APIs can be found here and we at Mashape are proud to have such a great techology available for our incredible community.