  The evolution of the internet has created an abundance of unstructured data
on the web, a significant part of which is textual. The task of author
profiling seeks to find the demographics of people solely from their linguistic
and content-based features in text. The ability to describe traits of authors
clearly has applications in fields such as security and forensics, as well as
marketing. Instead of seeing age as just a classification problem, we also
frame age as a regression one, but use an ensemble chain method that
incorporates the power of both classification and regression to learn the
authors exact age.
