Detecting signs of depression on social media: A machine learning analysis and evaluation

IF 3.3 2区 社会学 Q2 ENVIRONMENTAL SCIENCES
Phi Ta , Nha Tran , Hung Nguyen , Hien D. Nguyen
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引用次数: 0

Abstract

Depression has become a growing concern due to its detrimental effects on both personal functioning and interpersonal relationships. In contemporary society, it is of utmost urgency to research and develop systems capable of detecting symptoms of depression on social media. Our study is not merely a survey, but a comprehensive investigation aimed at uncovering valuable insights and trends in the detection of depression on social media platforms. Our findings present a consolidated map of current methodologies, highlight key trends, and, through experimental results, provide clear performance benchmarks for both post-level and user-level techniques. By integrating insights from both the extensive literature review and practical experiments, this work clarifies existing challenges, establishes performance baselines, and proposes empirically grounded future directions to advance the development of more effective and reliable depression detection systems on social networks. This work opens a promising future for addressing the challenge of detecting depression on social media and contributes to enhancing the effectiveness of depression detection systems, ultimately aiding individuals affected by the adverse effects of depression.
在社交媒体上检测抑郁迹象:一种机器学习分析和评估
抑郁症由于其对个人功能和人际关系的有害影响而日益受到关注。在当代社会,研究和开发能够在社交媒体上检测抑郁症症状的系统是迫在眉睫的。我们的研究不仅仅是一项调查,而是一项全面的调查,旨在揭示社交媒体平台上抑郁症检测的有价值的见解和趋势。我们的研究结果展示了当前方法的综合地图,突出了关键趋势,并通过实验结果为后期和用户级技术提供了明确的性能基准。通过整合广泛的文献综述和实际实验的见解,本工作澄清了现有的挑战,建立了绩效基线,并提出了基于经验的未来方向,以推进社交网络上更有效、更可靠的抑郁检测系统的发展。这项工作为解决在社交媒体上检测抑郁症的挑战开辟了一个充满希望的未来,并有助于提高抑郁症检测系统的有效性,最终帮助受抑郁症不良影响的个人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sustainable Futures
Sustainable Futures Social Sciences-Sociology and Political Science
CiteScore
9.30
自引率
1.80%
发文量
34
审稿时长
71 days
期刊介绍: Sustainable Futures: is a journal focused on the intersection of sustainability, environment and technology from various disciplines in social sciences, and their larger implications for corporation, government, education institutions, regions and society both at present and in the future. It provides an advanced platform for studies related to sustainability and sustainable development in society, economics, environment, and culture. The scope of the journal is broad and encourages interdisciplinary research, as well as welcoming theoretical and practical research from all methodological approaches.
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