Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter 论文

摘要

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