Review paper
Automatic detection of depression symptoms in twitter using multimodal analysis
Abstract
Depression is the most prevalent mental disorder that can lead to suicide. Due to the tendency of people to share their thoughts on social platforms, social data contain valuable information that can be used to identify user's psychological states. In this paper, we provide an automated approach to collect and evaluate tweets based on self-reported statements and present a novel multimodal framework to predict depression symptoms from user...
Paper Details
Title
Automatic detection of depression symptoms in twitter using multimodal analysis
Published Date
Sep 9, 2021
Volume
78
Issue
4
Pages
4709 - 4744
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