Deep temporal modelling of clinical depression through social media text

Author:

Farruque NawshadORCID,Goebel Randy,Sivapalan Sudhakar,Zaïane Osmar

Funder

Alberta Machine Intelligence Institute

Publisher

Elsevier BV

Reference23 articles.

1. Neural machine translation by jointly learning to align and translate;Bahdanau,2014

2. Risk for recurrence in depression;Burcusa;Clin. Psychol. Rev.,2007

3. Universal sentence encoder;Cer,2018

4. Quantifying mental health signals in Twitter;Coppersmith,2014

5. Coppersmith, G., Dredze, M., Harman, C., Hollingshead, K., Mitchell, M., 2015. CLPsych 2015 shared task: Depression and PTSD on Twitter. In: Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality. pp. 31–39.

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