Abstract
With the upsurge in suicide rates worldwide, timely identification of the at-risk individuals using computational methods has been a severe challenge. Anyone presenting with suicidal thoughts, mainly recurring and containing a deep desire to die, requires urgent and ongoing psychiatric treatment. This work focuses on investigating the role of temporal orientation and sentiment classification (auxiliary tasks) in jointly analyzing the victims’ emotional state (primary task). Our model leverages the effectiveness of multitask learning by sharing features among the tasks through a novel multi-layer cascaded shared-private attentive network. We conducted our experiments on a diversified version of the prevailing standard emotion annotated corpus of suicide notes in English, CEASE-v2.0. Experiments show that our proposed multitask framework outperforms the existing state-of-the-art system by 3.78% in the Emotion task, with a cross-validation Mean Recall (MR) of 60.90%. From our empirical and qualitative analysis of results, we observe that learning the tasks of temporality and sentiment together has a clear correlation with emotion recognition.
Highlights
With the upsurge in suicide rates worldwide, timely identification of the at-risk individuals using computational methods has been a severe challenge
The closest attained result on the emotion task is from the multitask baseline 1 (Multitask 1), which is 1.16% (MR) lower than the obtained score of Shared‐private attentive network with multi‐layer cascades (SPANMLC)
We attained a 3.78% improvement over the state-of-the-art system, Cascaded multitask system with external knowledge infusion (CMSEKI), on the Emotion recognition task, a multitask system involving three tasks
Summary
With the upsurge in suicide rates worldwide, timely identification of the at-risk individuals using computational methods has been a severe challenge. This work focuses on investigating the role of temporal orientation and sentiment classification (auxiliary tasks) in jointly analyzing the victims’ emotional state (primary task). Health experts investigate suicide notes with the hope that they can use this first-hand information to improve their understanding of the thinking patterns of the deceased persons that led them to commit suicide. Time perspective orientation (TPO) has been hypothesized to play an essential role in predicting negative psychological functioning and outcomes such as suicide risk. The current study considers an amalgamation of the concepts of Time Perspective, Sentiment and Emotion concerning the content of suicide notes. It investigates the role of the former two in aiding the process of emotion recognition. The following instances are sentences from real-life suicide notes:
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