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Early Detection Of Mental Health Disorders By Social Media Monitoring The First Five Years Of The Erisk Project Fabio Crestani

Name: Early Detection Of Mental Health Disorders By Social Media Monitoring The First Five Years Of The Erisk Project Fabio Crestani
SKU: BELL-46171046
Price: 31.00 USD
Availability: InStock
Rating: 4.25 (28 reviews)

SKU: BELL-46171046

$ 31.00 ~~$ 45.00~~ (-31%)

4.3

28 reviews

Early Detection Of Mental Health Disorders By Social Media Monitoring The First Five Years Of The Erisk Project Fabio Crestani instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 7 MB

Pages: 336

Author: Fabio Crestani, David E. Losada, Javier Parapar

ISBN: 9783031044304, 3031044304

Language: English

Year: 2022

Product desciption

Early Detection Of Mental Health Disorders By Social Media Monitoring The First Five Years Of The Erisk Project Fabio Crestani by Fabio Crestani, David E. Losada, Javier Parapar 9783031044304, 3031044304 instant download after payment.

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.