Detecting Potential Depressed Users in Twitter Using a Fine-Tuned DistilBERT Model

Miguel Antonio Adarlo; Marlene de Leon

doi:10.54941/ahfe1001458

Detecting Potential Depressed Users in Twitter Using a Fine-Tuned DistilBERT Model

Miguel Antonio Adarlo
, Marlene de Leon

Department of Information Systems and Computer Science

Ateneo de Manila University

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English
Title of host publication	Applied Human Factors and Ergonomics International
Publisher	AHFE International
Pages	155-163
Number of pages	9
DOIs	https://doi.org/10.54941/ahfe1001458
State	Published - 2022

Publication series

Name	Applied Human Factors and Ergonomics International
Volume	28
ISSN (Electronic)	2771-0718

UN SDGs

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

SDG 3 Good Health and Well-being

ASJC Scopus Subject Areas

Artificial Intelligence
Human-Computer Interaction
Management Science and Operations Research
Engineering (miscellaneous)
Safety, Risk, Reliability and Quality

Keywords

Depression
DistilBERT
Health and Well-being
Transformer Models
Twitter

Access to Document

10.54941/ahfe1001458

Cite this

@inbook{b828f1bc00b74f92a706b301c8114a6a,

title = "Detecting Potential Depressed Users in Twitter Using a Fine-Tuned DistilBERT Model",

keywords = "Depression, DistilBERT, Health and Well-being, Transformer Models, Twitter",

author = "Adarlo, \{Miguel Antonio\} and \{de Leon\}, Marlene",

year = "2022",

doi = "10.54941/ahfe1001458",

language = "English",

series = "Applied Human Factors and Ergonomics International",

publisher = "AHFE International",

pages = "155--163",

booktitle = "Applied Human Factors and Ergonomics International",

}

TY - CHAP

T1 - Detecting Potential Depressed Users in Twitter Using a Fine-Tuned DistilBERT Model

AU - Adarlo, Miguel Antonio

AU - de Leon, Marlene

PY - 2022

Y1 - 2022

KW - Depression

KW - DistilBERT

KW - Health and Well-being

KW - Transformer Models

KW - Twitter

UR - https://www.scopus.com/pages/publications/105036103424

UR - https://www.scopus.com/pages/publications/105036103424#tab=citedBy

U2 - 10.54941/ahfe1001458

DO - 10.54941/ahfe1001458

M3 - Chapter

AN - SCOPUS:105036103424

T3 - Applied Human Factors and Ergonomics International

SP - 155

EP - 163

BT - Applied Human Factors and Ergonomics International

PB - AHFE International

ER -

Detecting Potential Depressed Users in Twitter Using a Fine-Tuned DistilBERT Model

Publication series

UN SDGs

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this