A Cross-modal Review of Indicators for Depression Detection Systems (bibtex)
by Michelle Renee Morales, Stefan Scherer, Rivka Levitan
Abstract:
Automatic detection of depression has attracted increasing attention from researchers in psychology, computer science, linguistics, and related disciplines. As a result, promising depression detection systems have been reported. This paper surveys these efforts by presenting the first cross-modal review of depression detection systems and discusses best practices and most promising approaches to this task.
Reference:
A Cross-modal Review of Indicators for Depression Detection Systems (Michelle Renee Morales, Stefan Scherer, Rivka Levitan), In Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology, Association for Computational Linguistics, 2017.
Bibtex Entry:
@inproceedings{morales_cross-modal_2017,
	address = {Vancouver, Canada},
	title = {A {Cross}-modal {Review} of {Indicators} for {Depression} {Detection} {Systems}},
	url = {http://aclweb.org/anthology/W17-3101},
	abstract = {Automatic detection of depression has
attracted increasing attention from researchers
in psychology, computer science,
linguistics, and related disciplines.
As a result, promising depression detection
systems have been reported. This paper
surveys these efforts by presenting the
first cross-modal review of depression detection
systems and discusses best practices
and most promising approaches to
this task.},
	booktitle = {Proceedings of the {Fourth} {Workshop} on {Computational} {Linguistics} and {Clinical} {Psychology}},
	publisher = {Association for Computational Linguistics},
	author = {Morales, Michelle Renee and Scherer, Stefan and Levitan, Rivka},
	month = aug,
	year = {2017},
	keywords = {Virtual Humans},
	pages = {1--12}
}
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