Wall Street Birds - The Original Twitter Sentiment System
Scientists published a white paper titled "Twitter mood predicts the stock market" in October of 2010. Johan Bollen; Huina Mao; Xiao-Jun Zeng (2010). "Twitter mood predicts the stock market". Journal of Computational Science 2: 1–8.
Wall Street Birds servers use A.I. to extract emotions from social media messages in ten languages including English, Chinese (Mandarin), Spanish, Arabic, Hindi, Bengali, Portuguese, Russian, Japanese and German.
The emotion definitions are based partially on the work of Professor W. Gerrod Parrott.
Parrott, W. G. (Ed.). (2001). Emotions in Social Psychology. Philadelphia: Psychology Press.
Wall Street Birds extracts love, joy, surprise, anger, sadness, fear, and general mood. The Wall Street Birds database is the largest real-time sentiment analysis database in the world, currently over 28 gigabytes of data.
