Topic models can yield insight into how de-pressed and non-depressed individuals use language differently. In this paper, we explore the use of supervised topic models in the anal-ysis of linguistic signal for detecting depres-sion, providing promising results using several models. 1
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Resnik et al. (2015) studied this question.
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