  Given the complexity of human minds and their behavioral flexibility, it
requires sophisticated data analysis to sift through a large amount of human
behavioral evidence to model human minds and to predict human behavior. People
currently spend a significant amount of time on social media such as Twitter
and Facebook. Thus many aspects of their lives and behaviors have been
digitally captured and continuously archived on these platforms. This makes
social media a great source of large, rich and diverse human behavioral
evidence. In this paper, we survey the recent work on applying machine learning
to infer human traits and behavior from social media data. We will also point
out several future research directions.
