Potential use of text classification tools as signatures of suicidal behavior: A proof-of-concept study using Virginia Woolf’s personal writings - de Ávila Berni, Gabriela; Rabelo-da-Ponte, Francisco Diego; Librenza-Garcia, Diego; V. Boeira, Manuela; Kauer-Sant’Anna, Márcia; Cavalcante Passos, Ives; Kapczinski, Flávio (PloS one, 2018)
Keywords: Algorithms; Analysis; Artificial intelligence; Bayesian analysis; Behavior disorders; Biology and Life Sciences; Bipolar disorder; Classification; Computer and Information Sciences; Data processing; Diaries; Digital media; Electronic health records; Emotional disorders; Famous Persons; Feasibility studies; Female; Humans; Identification methods; Informatics; Laboratories; Learning algorithms; Machine Learning; Mathematical models; Medicine and Health Sciences; Mental disorders; Model accuracy; Neurosciences; Physical Sciences; Proof of Concept Study; Psychiatry; Psychoanalytic Interpretation; Research and Analysis Methods; Schizophrenia; Self Concept; Social networks; Social Sciences; Suicidal behavior; Suicidal Ideation; Suicide; Suicides & suicide attempts; Woolf, Virginia (1882-1941); Writing; United States; Brazil; Canada