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相关论文: Exploring Social Media Posts for Depression Identi…

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Depression is debilitating, and not uncommon. Indeed, studies of excessive social media users show correlations with depression, ADHD, and other mental health concerns. Given that there is a large number of people with excessive social…

计算与语言 · 计算机科学 2023-10-04 Dean Ninalga

Depression is the most common mental health disorder, and its prevalence increased during the COVID-19 pandemic. As one of the most extensively researched psychological conditions, recent research has increasingly focused on leveraging…

Users suffering from mental health conditions often turn to online resources for support, including specialized online support communities or general communities such as Twitter and Reddit. In this work, we present a neural framework for…

计算与语言 · 计算机科学 2017-09-07 Andrew Yates , Arman Cohan , Nazli Goharian

Social media has recently emerged as a premier method to disseminate information online. Through these online networks, tens of millions of individuals communicate their thoughts, personal experiences, and social ideals. We therefore…

社会与信息网络 · 计算机科学 2016-07-26 Moin Nadeem

Social media channels, such as Facebook, Twitter, and Instagram, have altered our world forever. People are now increasingly connected than ever and reveal a sort of digital persona. Although social media certainly has several remarkable…

社会与信息网络 · 计算机科学 2020-08-26 Hatoon S. AlSagri , Mourad Ykhlef

Depression is a pervasive mental health condition that affects hundreds of millions of individuals worldwide, yet many cases remain undiagnosed due to barriers in traditional clinical access and pervasive stigma. Social media platforms, and…

计算与语言 · 计算机科学 2025-08-06 Eliseo Bao , Anxo Pérez , Javier Parapar

Depression is a common mental illness that has to be detected and treated at an early stage to avoid serious consequences. There are many methods and modalities for detecting depression that involves physical examination of the individual.…

人工智能 · 计算机科学 2022-02-08 Kayalvizhi S , Thenmozhi D

Using Instagram data from 166 individuals, we applied machine learning tools to successfully identify markers of depression. Statistical features were computationally extracted from 43,950 participant Instagram photos, using color analysis,…

社会与信息网络 · 计算机科学 2016-08-16 Andrew G. Reece , Christopher M. Danforth

Depression is one of the most prevalent and debilitating mental health conditions worldwide, frequently underdiagnosed and undertreated. The proliferation of social media platforms provides a rich source of naturalistic linguistic signals…

计算与语言 · 计算机科学 2026-04-23 Giorgia Gulino , Manuel Petrucci

Depression is a significant issue nowadays. As per the World Health Organization (WHO), in 2023, over 280 million individuals are grappling with depression. This is a huge number; if not taken seriously, these numbers will increase rapidly.…

计算与语言 · 计算机科学 2024-04-23 Muhammad Osama Nusrat , Waseem Shahzad , Saad Ahmed Jamal

Depression is a widespread mental health issue, affecting an estimated 3.8% of the global population. It is also one of the main contributors to disability worldwide. Recently it is becoming popular for individuals to use social media…

计算与语言 · 计算机科学 2024-03-21 Ziyi Chen , Ren Yang , Sunyang Fu , Nansu Zong , Hongfang Liu , Ming Huang

Computational research on mental health disorders from written texts covers an interdisciplinary area between natural language processing and psychology. A crucial aspect of this problem is prevention and early diagnosis, as suicide…

机器学习 · 统计学 2020-11-04 Ana-Maria Bucur , Liviu P. Dinu

As the impact of technology on our lives is increasing, we witness increased use of social media that became an essential tool not only for communication but also for sharing information with community about our thoughts and feelings. This…

计算与语言 · 计算机科学 2023-05-10 Ilija Tavchioski , Marko Robnik-Šikonja , Senja Pollak

Almost 50% depression patients face the risk of going into relapse. The risk increases to 80% after the second episode of depression. Although, depression detection from social media has attained considerable attention, depression relapse…

Multiple studies have demonstrated that behavior on internet-based social media platforms can be indicative of an individual's mental health status. The widespread availability of such data has spurred interest in mental health research…

计算与语言 · 计算机科学 2021-03-22 Carlos Aguirre , Keith Harrigian , Mark Dredze

In this work, we provide an extensive part-of-speech analysis of the discourse of social media users with depression. Research in psychology revealed that depressed users tend to be self-focused, more preoccupied with themselves and…

计算与语言 · 计算机科学 2021-08-03 Ana-Maria Bucur , Ioana R. Podină , Liviu P. Dinu

We developed computational models to predict the emergence of depression and Post-Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history were collected from 204 individuals (105 depressed, 99 healthy). We…

Depressive disorders constitute a severe public health issue worldwide. However, public health systems have limited capacity for case detection and diagnosis. In this regard, the widespread use of social media has opened up a way to access…

计算与语言 · 计算机科学 2023-10-10 Anxo Pérez , Neha Warikoo , Kexin Wang , Javier Parapar , Iryna Gurevych

Mental disorders such as depression and anxiety have been increasing at alarming rates in the worldwide population. Notably, the major depressive disorder has become a common problem among higher education students, aggravated, and maybe…

计算与语言 · 计算机科学 2020-03-31 Paulo Mann , Aline Paes , Elton H. Matsushima

In today's interconnected society, social media platforms have become an important part of our lives, where individuals virtually express their thoughts, emotions, and moods. These expressions offer valuable insights into their mental…

机器学习 · 计算机科学 2025-01-28 Yusif Ibrahimov , Tarique Anwar , Tommy Yuan
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