Title :
Twitter Mood as a Stock Market Predictor
Author :
Bollen, Johan ; Mao, Huina
Author_Institution :
Sch. of Inf. & Comput., Indiana Univ. Bloomington, Bloomington, IN, USA
Abstract :
Behavioral finance researchers can apply computational methods to large-scale social media data to better understand and predict markets.
Keywords :
financial data processing; social networking (online); stock markets; Twitter mood; computational method; finance behavioral research; large scale social media data; stock market predictor; Behavioral science; Consumer behavior; Financial management; Prediction methods; Psychology; Twitter; Computational behavior finance; Discovery analytics; Social media; Twitter;
DOI :
10.1109/MC.2011.323
