We believe our work facilitates detection and analysis of depression and stress on social media data, and shows potential for applications on other mental ...
Jul 1, 2022 · We believe our work facilitates detection and analysis of depression and stress on social media data, and shows potential for applications on ...
Kailai Yang, Tianlin Zhang, Sophia Ananiadou. "A Mental State Knowledge-Aware and Contrastive Network for Early Stress and Depression Detection on Social Media" ...
Jul 1, 2022 · We believe our work facilitates detection and analysis of depression and stress on social media data, and shows potential for applications on ...
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We propose a Deep Knowledge-Aware Depression Detection (DKDD) framework to accurately detect social media users at risk of depression and explain the critical ...
Missing: mental Contrastive Network early stress
61. Yang, K., Zhang, T., Ananiadou, S., 2022. A mental state knowl- edge–aware and contrastive network for early stress and depression detection on social media ...
This is the first study utilizing attention fusion networks for predicting stress and depression through social media posts.
Jul 11, 2023 · We propose a sentiment-guided Transformer model, which efficiently fuses social media posts' semantic information with sentiment information.
Feb 10, 2024 · This study proposes an innovative approach, leveraging artificial intelligence advancements, to enhance multimodal depression diagnosis.
A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media. K Yang, T Zhang, S Ananiadou.