DASentimental: Detecting depression, anxiety and stress in texts via emotional 
recall, cognitive networks and machine learning

Fatima, Asra; Li, Ying; Hills, Thomas T.; Stella, Massimo

doi:10.3390/bdcc5040077

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Journal Article

DASentimental: Detecting depression, anxiety and stress in texts via emotional recall, cognitive networks and machine learning

MPS-Authors

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Li, Ying
Center for Adaptive Rationality, Max Planck Institute for Human Development, Max Planck Society;

External Resource

https://arxiv.org/abs/2110.13710
(Preprint)

https://doi.org/10.3390/bdcc5040077
(Publisher version)

https://github.com/asrafaiz7/DASentimental
(Research data)

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BDCC-05-00077-v2.pdf
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Citation

Fatima, A., Li, Y., Hills, T. T., & Stella, M. (2021). DASentimental: Detecting depression, anxiety and stress in texts via emotional recall, cognitive networks and machine learning. Big Data and Cognitive Computing, 5: 77. doi:10.3390/bdcc5040077.

Cite as: https://hdl.handle.net/21.11116/0000-0009-6CA7-2

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