Sep 5, 2023 · Hence, social media platforms are now becoming a large data source that can be utilized for detecting depression and mental illness. However, ...

In this paper, we propose a novel multimodal framework that combines textual, user-specific, and image analysis to detect depression among social media users.

Apr 3, 2024 · In this study, our focus is on detecting mental health using social media platforms. Detecting depression from social media platforms comes with ...

A Multimodal Framework for Depression Detection During COVID-19 via Harvesting Social Media ; ISSN (Electronic): 2373-7476 ; Publication date Created: April 2024.

Our work aims to make timely depression detection via harvesting social media data. We construct well-labeled depression and non-depression dataset on Twitter.

Nov 2, 2024 · A Multimodal Framework for Depression Detection During COVID 19 via Harvesting Social Media https://ifoxprojects.com/ ; IEEE PROJECTS 2024-2025 ...

We construct well-labeled depression and non-depression dataset on Twitter, and extract six depression-related feature groups covering not only the clinical ...

Aug 19, 2017 · A multimodal depressive dictionary learning model is proposed to detect the depressed users on Twitter and a series of experiments are conducted to validate ...

In this paper, we investigated the relationship between COVID-19 infection and depression through social media analysis.

In this talk, we will systematically introduce our work on stress and depression detection employing large-scale benchmark datasets from real-world social media ...