Estimating the effect of COVID-19 on mental health: Linguistic indicators of depression during a global pandemic

no code implementations • ACL 2020 • JT Wolohan

This preliminary analysis uses a deep LSTM neural network with fastText embeddings to predict population rates of depression on Reddit in order to estimate the effect of COVID-19 on mental health.

Detecting Linguistic Traces of Depression in Topic-Restricted Text: Attending to Self-Stigmatized Depression with NLP

no code implementations • COLING 2018 • JT Wolohan, Misato Hiraga, Atreyee Mukherjee, Zeeshan Ali Sayyed, Matthew Millard

We find significant differences in the language used by depressed users under the two conditions as well as a difference in the ability of machine learning algorithms to correctly detect depression.

BIG-bench Machine Learning