Enhancing Depression Detection from Narrative Interviews Using Language Models

Palak Sood, Xinming Yang, Ping Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In recent years, the prevalence of mental health issues among young people has significantly increased, especially due to the consequences of COVID-19 pandemic and the widespread adoption of remote work arrangements. Depression has emerged as a major global mental health concern due to its potentially devastating consequences. However, existing methods for depression detection still face several challenges, such as limited data availability, imbalanced labels, and inadequate consideration of contextual information. To tackle these challenges, in this paper, we first create a larger dataset, namely I-DAIC, for depression detection by integrating three existing datasets in the literature. We further fine-tune and examine two pre-trained transformer-based language models by comparing them with two traditional machine learning methods on the I-DAIC dataset. To overcome the difficulty of handling lengthy texts, we explore several customized strategies in combination with the advanced language models. Moreover, we conducted the quantitative analysis of key representative keywords using topic modeling for both non-depression and depression instances. The comprehensive experimental results demonstrated the effectiveness, advantages, and significant potential of pre-trained language models for depression detection with narrative interviews.

Original languageEnglish
Title of host publicationProceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
EditorsXingpeng Jiang, Haiying Wang, Reda Alhajj, Xiaohua Hu, Felix Engel, Mufti Mahmud, Nadia Pisanti, Xuefeng Cui, Hong Song
Pages3173-3180
Number of pages8
ISBN (Electronic)9798350337488
DOIs
StatePublished - 2023
Event2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023 - Istanbul, Turkey
Duration: 5 Dec 20238 Dec 2023

Publication series

NameProceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

Conference

Conference2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
Country/TerritoryTurkey
CityIstanbul
Period5/12/238/12/23

Keywords

  • Depression detection
  • fine-tuned language models
  • long text
  • narrative interviews

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