Abstract
This paper describes various systems from the University of Minnesota, Duluth that participated in the CLPsych 2015 shared task. These systems learned decision lists based on lexical features found in training data. These systems typically had average precision in the range of .70 – .76, whereas a random baseline attained .47 – .49.
Cite
CITATION STYLE
Pedersen, T. (2015). Screening Twitter Users for Depression and PTSD with Lexical Decision Lists. In 2nd Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych 2015 - Proceedings of the Workshop (pp. 46–53). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/w15-1206
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