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Jun 13, 2023 · We propose a multi-task training framework, DeSK, which utilizes shared sentiment knowledge to enhance the efficacy of depression detection.
Nov 15, 2023 · We propose a multi-task training framework, DeSK, which utilizes shared sentiment knowledge to enhance the efficacy of depression detection.
Jun 25, 2023 · Current efforts in detecting depression through social networks typically rely solely on analyzing the textual content, overlooking other ...
This work proposes a multi-task training framework, DeSK, which utilizes shared sentiment knowledge to enhance the efficacy of depression detection and ...
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Feb 1, 2022 · This review examines aspects of primary studies exploring depression detection from social media submissions (from 2016 to mid-2021).
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We propose a multi-task training framework, DeSK, which utilizes shared sentiment knowledge to enhance the efficacy of depression detection.
Automatic detection of depressive symptoms through ML algorithms applied to social media data has potential as a way of identifying people at risk of depression ...
Oct 24, 2023 · They developed a machine learning framework that incorporated sentiment analysis features to predict depression levels in individuals. Their ...
Nov 19, 2021 · This paper shows a review of the sentiment analysis on Social media data for apprehensiveness or dejection detection utilizing various artificial intelligence ...
We use multitask training and multimodal inputs to construct a Deep Neural Network (DNN) classification model, i.e. FusionNet to predict online depressed users.