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DEPTWEET: A typology for social media texts to detect depression severities · Study

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ArticleDEPTWEET: A typology for social media texts to detect depression severities

Mohsinul Kabir2022

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Articlegreen2022

DEPTWEET: A typology for social media texts to detect depression severities

Mohsinul Kabir · Tasnim Ahmed · Md. Bakhtiar Hasan · Md Tahmid Rahman Laskar · Tarun Kumar Joarder · Hasan Mahmud

96 citations·0/0 files stored·Computers in Human Behavior

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Mental Health via Writing Sentiment Analysis and Opinion Mining Emotion and Mood Recognition

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References

1977The CES-D Scale 2001The PHQ-9 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case 2008Diagnostic and Statistical Manual of Mental Disorders(DSM)2020Impact of COVID-19 and lockdown on mental health of children and adolescents: A narrative review with recommendations 2014Handbook of Inter-Rater Reliability: The Definitive Guide to Measuring the Extent of Agreement Among Raters 2014Quantifying Mental Health Signals in Twitter 2018Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

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2024Depression detection in social media posts using transformer-based models and auxiliary features

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Details

Year2022

Typearticle

Published2022-09-28

VenueComputers in Human Behavior

ISSN-L0747-5632

Languageen

Citations96

Files0 public / 0

ShelfMental Health via Writing

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doi10.1016/j.chb.2022.107503

openalex_workW4297499142

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