International Challenge in Emotion Prediction From Suicide Notes

International Challenge in Emotion prediction from Suicide Notes is a shared task that requires automated identification of emotions in suicide notes.

In 2011, international participants were asked to find emotions in suicide notes as part of track 2 in the Natural Language Processing for Clinical Data Challenge. The purpose was to evaluate the performance of natural language processing systems in classifying sentences in suicide notes using a scheme of emotions.

The organizers provided the classification scheme and a manually annotated training dataset consisting of 1,000 suicide notes, where each sentence was associated with zero or more emotions from the classification scheme.

This shared task is supported by: Shared Task 2010 - Analysis of Suicide Notes for Subjective Information Grant Number 1R13LM010743-01 and Cincinnati Children’s Hospital Medical Center.