000			03493nam a22003975i 4500
001			393960
003			ES-MaUEC
005			20230102123041.0
007			cr nn 008mamaa
008			220914s2022 sz | s |||| 0|eng d
020			_a9783031044311
024	7		_a10.1007/978-3-031-04431-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aEarly Detection of Mental Health Disorders by Social Media Monitoring _bThe First Five Years of the eRisk Project _cedited by Fabio Crestani, David E Losada, Javier Parapar
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XII, 328 páginas) _b70 ilustraciones, 50 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aStudies in Computational Intelligence _x1860-9503 _v1018
505	0		_aEarly 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.
520			_aeRisk 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.
700	1		_aCrestani, Fabio _eeditor literario _0(orcid)0000-0001-8672-0700 _1https://orcid.org/0000-0001-8672-0700 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLosada, David E _eeditor literario _0(orcid)0000-0001-8823-7501 _1https://orcid.org/0000-0001-8823-7501 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aParapar, Javier _eeditor literario _0(orcid)0000-0002-5997-8252 _1https://orcid.org/0000-0002-5997-8252 _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783031044304
776	0	8	_iPrinted edition: _z9783031044328
776	0	8	_iPrinted edition: _z9783031044335
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-04431-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Robotics_2022
999			_c393960 _d393960