Attention to Emotions: Detecting Mental Disorders in Social Media-Reference-Cited by-同舟云学术

Attention to Emotions: Detecting Mental Disorders in Social Media

Published:2020 Issue: Volume: Page:231-239
ISSN:0302-9743
Container-title:Text, Speech, and Dialogue
language:
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Author:

Aragón Mario Ezra^ORCID,López-Monroy A. Pastor,González Luis C.,Montes-y-Gómez Manuel

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58323-1_25

Reference17 articles.

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3. Kemp, S.: (2019). https://wearesocial.com/blog/2019/01/digital-2019-global-internet-use-accelerates

4. Schwartz, H.A., et al.: Towards assessing changes in degree of depression through Facebook. In: Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality (2014)

5. Xuetong, C., Martin, D., Thomas, W., Suzanne, E.: What about mood swings? Identifying depression on Twitter with temporal measures of emotions. In: Companion Proceedings of the The Web Conference 2018, International World Wide Web Conferences Steering Committee (2018)

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