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Multitask learning for recognizing stress and depression in social media

Bibliographic Data

ID22156878
AuthorsLoukas Ilias (0000-0002-4483-4264, National Technical University of Athens, corresponding author), Dimitris Askounis (0000-0002-2618-5715, National Technical University of Athens)
Year2023
Volume37-38
Pages100270
Publication date2023-09-01
Open AccessYes
TypeARTICLE
VenueOnline Social Networks and Media (JOURNAL)
Journal identifiersISSN: 2468-6964 • E-ISSN: 2468-6964
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.osnem.2023.100270
OpenAlexW4387620261
LanguageEN
Citations received3
References cited13

Cognitive psychology · Feeling · Linguistics · Machine learning · Multi-task learning · Social media · Transfer of learning · World Wide Web · Computer Science · Digital Mental Health Interventions · Mental Health via Writing · Psychology · Sentiment Analysis and Opinion Mining · Social Psychology · Artificial Intelligence

  • An explainable ensemble model for revealing the level of depression in social media by considering personality traits and sentiment polarity pattern

    Open Access•Gede Aditra Pradnyana, Wiwik Anggraeni et al.•Online Social Networks and Media•2025

  • Online expressions, offline struggles

    Open Access•Mario Ezra Aragón, Adrián Pastor López-Monroy et al.•Online Social Networks and Media•2025

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

    Open Access•Marios Kerasiotis, Loukas Ilias et al.•Social Network Analysis and Mining•2024

  • Calibration of Transformer-Based Models for Identifying Stress and Depression in Social Media

    Open Access•Loukas Ilias, Spiros Mouzakitis et al.•IEEE Transactions on Computational…•2024

  • What Does Your Bio Say? Inferring Twitter Users’ Depression Status From Multimodal Profile Information Using Deep Learning

    Open Access•Soumitra Ghosh, Asif Ekbal et al.•IEEE Transactions on Computational…•2022

Citations per year1.5
Citation span2024 - 2025 (2)
Highly citedNo

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