For examples, the authors of used the textual data from Facebook posts of consenting study participants to predict depression diagnoses recorded in their electronic medical records with high accuracy, using a logistic regression model. The feasibility of such an approach has been demonstrated by numerous studies on different mental health disorders. The quantifiable signals in user-generated online data aid researchers in gaining insight into an individual’s emotional state and detecting cues indicative of suicidality. This tendency prompted research that focuses on detecting suicide risk and other mental health issues on social networks and online forums by applying machine learning (ML) and natural language processing (NLP) techniques. Finally, we conclude by discussing the current limitations and future directions in the research of suicidal ideation detection.Īt the same time, an increasing number of at-risk individuals are turning to online communication channels to express their feelings and discuss their suicidal thoughts. Furthermore, we present several Reddit-based datasets utilized to construct suicidal ideation detection models. The findings of the review outline the prevalent methods of data collection, data annotation, data preprocessing, feature engineering, model development, and evaluation. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we selected 26 recent studies, published between 20. To achieve this objective, we conducted a literature review of the recent articles detailing machine learning and natural language processing techniques applied to Reddit data to detect the presence of suicidal ideations. The objective of this paper is to investigate methods employed to detect suicidal ideations on the Reddit forum. This prompted research that applies machine learning and natural language processing techniques to detect suicidality among social media and forum users. At the same time, individuals contemplating suicide are increasingly turning to social media and online forums, such as Reddit, to express their feelings and share their struggles with suicidal thoughts. However, there are challenges associated with conventional suicide-risk screening methods. The early detection of suicidal ideation is critical for suicide prevention. Hundreds of thousands of people commit suicide every year. Suicide is a major public-health problem that exists in virtually every part of the world.
0 kommentar(er)
