A dataset for research on depression in social media
Language provides a unique window into thoughts, enabling direct assessment of mental-
state alterations. Due to their increasing popularity, online social media platforms have …
state alterations. Due to their increasing popularity, online social media platforms have …
Identifying depression on reddit: The effect of training data
I Pirina, Ç Çöltekin - Proceedings of the 2018 EMNLP workshop …, 2018 - aclanthology.org
This paper presents a set of classification experiments for identifying depression in posts
gathered from social media platforms. In addition to the data gathered previously by other …
gathered from social media platforms. In addition to the data gathered previously by other …
Anticipating depression based on online social media behaviour
Mental disorders are major concerns in societies all over the world, and in spite of the
improved diagnosis rates of such disorders in recent years, many cases still go undetected …
improved diagnosis rates of such disorders in recent years, many cases still go undetected …
Explainability of depression detection on social media: From deep learning models to psychological interpretations and multimodality
Mental disorders are an important public health issue. Computational methods have the
potential to aid with the detection of risky behaviors online, through extracting information …
potential to aid with the detection of risky behaviors online, through extracting information …
Automatic detection of depressive users in social media
F Benamara, V Moriceau, J Mothe… - … en Recherche d' …, 2018 - hal.science
According to the World Health Organization, 350 million people worldwide sufferfrom
depression. Detecting this trouble constitutes thus a challenge for personal and …
depression. Detecting this trouble constitutes thus a challenge for personal and …
Understanding depression from psycholinguistic patterns in social media texts
Abstract The World Health Organization reports that half of all mental illnesses begin by the
age of 14. Most of these cases go undetected and untreated. The expanding use of social …
age of 14. Most of these cases go undetected and untreated. The expanding use of social …
Emotional and linguistic cues of depression from social media
N Vedula, S Parthasarathy - … of the 2017 International Conference on …, 2017 - dl.acm.org
Health outcomes in modern society are often shaped by peer interactions. Increasingly, a
significant fraction of such interactions happen online and can have an impact on various …
significant fraction of such interactions happen online and can have an impact on various …
A profile-based sentiment-aware approach for depression detection in social media
J de Jesús Titla-Tlatelpa, RM Ortega-Mendoza… - EPJ data …, 2021 - epjds.epj.org
Depression is a severe mental health problem. Due to its relevance, the development of
computational tools for its detection has attracted increasing attention in recent years. In this …
computational tools for its detection has attracted increasing attention in recent years. In this …
Depressionnet: learning multi-modalities with user post summarization for depression detection on social media
Twitter is currently a popular online social media platform which allows users to share their
user-generated content. This publicly-generated user data is also crucial to healthcare …
user-generated content. This publicly-generated user data is also crucial to healthcare …
Analysis of social media posts for early detection of mental health conditions
This paper presents a multipronged approach to predict early risk of mental health issues
from user-generated content in social media. Supervised learning and information retrieval …
from user-generated content in social media. Supervised learning and information retrieval …