t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams

11 Nov 2019 β€’ Sergio G. Burdisso β€’ Marcelo Errecalde β€’ Manuel Montes-y-GΓ³mez

A recently introduced classifier, called SS3, has shown to be well suited to deal with early risk detection (ERD) problems on text streams. It obtained state-of-the-art performance on early depression and anorexia detection on Reddit in the CLEF's eRisk open tasks... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Depression Detection eRisk 2017 SS3 ERDE5 12.6 # 1
ERDE50 8.1 # 2
Depression Detection eRisk 2017 t-SS3 ERDE5 12.6 # 1
ERDE50 7.7 # 1
Depression Detection eRisk 2018 t-SS3 ERDE5 9.5 # 1
ERDE50 6.2 # 1
Depression Detection eRisk 2018 SS3 ERDE5 9.5 # 1
ERDE50 6.4 # 2
Anorexia Detection eRisk 2018 SS3 ERDE5 11.56 # 1
ERDE50 6.69 # 2
Anorexia Detection eRisk 2018 t-SS3 ERDE5 11.31 # 2
ERDE50 6.26 # 1

Methods used in the Paper


METHOD TYPE
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