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Early detection of mental health dis...

Crestani, Fabio.

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Early detection of mental health disorders by social media monitoring = the first five years of the ERisk project /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Early detection of mental health disorders by social media monitoring/ edited by Fabio Crestani, David E. Losada, Javier Parapar.
其他題名:	the first five years of the ERisk project /
其他作者:	Crestani, Fabio.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xii, 328 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Mental illness - Risk factors -
電子資源:	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. - Cham :Springer International Publishing :2022. - xii, 328 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 10181860-9503 ;. - Studies in computational intelligence ;v. 1018..

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:

3606183
Mental illness
--Risk factors

LC Class. No.: RC455.2.D38 / E27 2022

Dewey Class. No.: 616.89002856754

Early detection of mental health disorders by social media monitoring = the first five years of the ERisk project /
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