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Jan 24, 2020 · This paper addresses the state-of-the-art regarding studies on recognition of depressive mood disorders in social networks through approaches and techniques of ...
The primary studies that identified depression in online social networks were retrieved, and the feelings and emotions recognized in the process, along with ...
This paper presents a new approach for the temporal assessment of emotional behavior and interaction among depressed users on social networks.We start by ...
This paper addresses the state-of-the-art regarding studies on recognition of depressive mood disorders in social networks through approaches and techniques ...
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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Mar 1, 2022 · This systematic review aims to summarize the findings of previous studies concerning applying machine learning (ML) methods to text data from social media to ...
A review on recognizing depression in social networks: challenges and opportunities (2020). Authors: Giuntini, Felipe Taliar · Cazzolato, Mirela Teixeira · Reis ...
Apr 13, 2023 · This study aims to review the current state-of-the-art research methods and propose a multidimensional framework to describe the current body of ...
Missing: recognizing | Show results with:recognizing
This review examines aspects of primary studies exploring depression detection from social media submissions (from 2016 to mid-2021)
Missing: recognizing | Show results with:recognizing