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Early Detection of Mental Health Disorders by Social Media Monitoring = The First Five Years of the eRisk Project /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Early Detection of Mental Health Disorders by Social Media Monitoring/ edited by Fabio Crestani, David E. Losada, Javier Parapar.
Reminder of title:	The First Five Years of the eRisk Project /
other author:	Crestani, Fabio.
Description:	XII, 328 p. 70 illus., 50 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-031-04431-1
ISBN:	9783031044311

Early Detection of Mental Health Disorders by Social Media Monitoring = The First Five Years of the eRisk Project /
Early Detection of Mental Health Disorders by Social Media MonitoringThe First Five Years of the eRisk Project /[electronic resource] :edited by Fabio Crestani, David E. Losada, Javier Parapar. - 1st ed. 2022. - XII, 328 p. 70 illus., 50 illus. in color.online resource. - Studies in Computational Intelligence,10181860-9503 ;. - Studies in Computational Intelligence,564.

Early Risk Prediction of Mental Health Disorders -- The Challenge of Early Risk Prediction on the Internet -- A Survey of the First Five Years of eRisk: Findings and Conclusions -- From Bag-of-Words to Transformers: A Deep Dive into the Participation in the eRisk Early Risk Detection of Depression Tasks with Classical and new Approaches.

eRisk stands for Early Risk Prediction on the Internet. It is concerned with the exploration of techniques for the early detection of mental health disorders which manifest in the way people write and communicate on the internet, in particular in user generated content (e.g. Facebook, Twitter, or other social media). Early detection technologies can be employed in several different areas but particularly in those related to health and safety. For instance, early alerts could be sent when the writing of a teenager starts showing increasing signs of depression, or when a social media user starts showing suicidal inclinations, or again when a potential offender starts publishing antisocial threats on a blog, forum or social network. eRisk has been the pioneer of a new interdisciplinary area of research that is potentially applicable to a wide variety of situations, problems and personal profiles. This book presents the best results of the first five years of the eRisk project which started in 2017 and developed into one of the most successful track of CLEF, the Conference and Lab of the Evaluation Forum.

ISBN: 9783031044311

Standard No.: 10.1007/978-3-031-04431-1doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Early Detection of Mental Health Disorders by Social Media Monitoring = The First Five Years of the eRisk Project /
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