Early detection of risks on the Internet: an exploratory campaign

TítuloEarly detection of risks on the Internet: an exploratory campaign
AutoresDavid E. Losada, Fabio Crestani, Javier Parapar
TipoComunicación para congreso
Fonte 41st European Conference on Information Retrieval, Colonia (Alemania), Springer, 2019.
RankRanked A in CORE
AbstractThis paper summarizes the activities related to the CLEF lab on early risk prediction on the Internet (eRisk). eRisk was initiated in 2017 as an attempt to set the experimental foundations of early risk detection. The first edition essentially focused on a pilot task on early detection of signs of depression. In 2018, the lab was enlarged and included an additional task oriented to early detection of signs of anorexia.We review here the main lessons learned and we discuss our plans for 2019.
Palabras chaveearly risk prediction, text mining, evaluation, depression, eating disorders, anorexia