Detection of mental health conditions from Reddit via deep contextualized representations

Zhengping Jiang; Sarah Ita Levitan; Jonathan Zomick; Julia Hirschberg

doi:10.18653/v1/2020.louhi-1.16

Detection of mental health conditions from Reddit via deep contextualized representations

Zhengping Jiang
, Sarah Ita Levitan
, Jonathan Zomick
, Julia Hirschberg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

61 Scopus citations

Abstract

We address the problem of automatic detection of psychiatric disorders from the linguistic content of social media posts. We build a large scale dataset of Reddit posts from users with eight disorders and a control user group. We extract and analyze linguistic characteristics of posts and identify differences between diagnostic groups. We build strong classification models based on deep contextualized word representations and show that they outperform previously applied statistical models with simple linguistic features by large margins. We compare user-level and post-level classification performance, as well as an ensembled multiclass model.

Original language	English
Title of host publication	EMNLP 2020 - 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, Proceedings of the Workshop
Publisher	Association for Computational Linguistics (ACL)
Pages	147-156
Number of pages	10
ISBN (Electronic)	9781952148811
DOIs	https://doi.org/10.18653/v1/2020.louhi-1.16
State	Published - 2020
Externally published	Yes
Event	11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, co-located with EMNLP 2020 - Virtual, Online Duration: 20 Nov 2020 → …

Publication series

Name	EMNLP 2020 - 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, Proceedings of the Workshop

Conference

Conference	11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, co-located with EMNLP 2020
City	Virtual, Online
Period	20/11/20 → …

Bibliographical note

Publisher Copyright:
© 2020 Association for Computational Linguistics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.18653/v1/2020.louhi-1.16

Cite this

Jiang, Z., Levitan, S. I., Zomick, J., & Hirschberg, J. (2020). Detection of mental health conditions from Reddit via deep contextualized representations. In EMNLP 2020 - 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, Proceedings of the Workshop (pp. 147-156). (EMNLP 2020 - 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, Proceedings of the Workshop). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2020.louhi-1.16

Jiang, Zhengping ; Levitan, Sarah Ita ; Zomick, Jonathan et al. / Detection of mental health conditions from Reddit via deep contextualized representations. EMNLP 2020 - 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, Proceedings of the Workshop. Association for Computational Linguistics (ACL), 2020. pp. 147-156 (EMNLP 2020 - 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, Proceedings of the Workshop).

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title = "Detection of mental health conditions from Reddit via deep contextualized representations",

abstract = "We address the problem of automatic detection of psychiatric disorders from the linguistic content of social media posts. We build a large scale dataset of Reddit posts from users with eight disorders and a control user group. We extract and analyze linguistic characteristics of posts and identify differences between diagnostic groups. We build strong classification models based on deep contextualized word representations and show that they outperform previously applied statistical models with simple linguistic features by large margins. We compare user-level and post-level classification performance, as well as an ensembled multiclass model.",

author = "Zhengping Jiang and Levitan, \{Sarah Ita\} and Jonathan Zomick and Julia Hirschberg",

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doi = "10.18653/v1/2020.louhi-1.16",

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Jiang, Z, Levitan, SI, Zomick, J & Hirschberg, J 2020, Detection of mental health conditions from Reddit via deep contextualized representations. in EMNLP 2020 - 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, Proceedings of the Workshop. EMNLP 2020 - 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, Proceedings of the Workshop, Association for Computational Linguistics (ACL), pp. 147-156, 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, co-located with EMNLP 2020, Virtual, Online, 20/11/20. https://doi.org/10.18653/v1/2020.louhi-1.16

Detection of mental health conditions from Reddit via deep contextualized representations. / Jiang, Zhengping; Levitan, Sarah Ita; Zomick, Jonathan et al.
EMNLP 2020 - 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, Proceedings of the Workshop. Association for Computational Linguistics (ACL), 2020. p. 147-156 (EMNLP 2020 - 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, Proceedings of the Workshop).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Jiang Z, Levitan SI, Zomick J, Hirschberg J. Detection of mental health conditions from Reddit via deep contextualized representations. In EMNLP 2020 - 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, Proceedings of the Workshop. Association for Computational Linguistics (ACL). 2020. p. 147-156. (EMNLP 2020 - 11th International Workshop on Health Text Mining and Information Analysis, LOUHI 2020, Proceedings of the Workshop). doi: 10.18653/v1/2020.louhi-1.16

Detection of mental health conditions from Reddit via deep contextualized representations

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Bibliographical note

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