As part of the 2016 Computational Linguistics and Clinical Psychology (CLPsych)
shared task, participants were asked to construct systems to automatically classify mental
health forum posts into four categories, representing how urgently posts require moderator
attention. This paper details the system implementation from the University of Florida, in
which we compare several distinct models and show that best performance is achieved with
domain-specific preprocessing, n-gram feature extraction, and cross-validated linear
models.