Papers with suicidal ideation detection

2 papers
A Computational Approach to Feature Extraction for Identification of Suicidal Ideation in Tweets (P18-3)

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Challenge: Suicidal ideation on social media websites is associated with higher suicide rates . suicide is the second leading cause of death among 15-29-year-olds .
Approach: They propose a supervised method for detecting suicidal ideation in tweets using a dataset of manually annotated tweets.
Outcome: The proposed method is compared against four baselines to validate its utility.
Towards Intention Understanding in Suicidal Risk Assessment with Natural Language Processing (2022.findings-emnlp)

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Challenge: Suicide is a global problem, with one suicide case for every 100 deaths worldwide . social networking sites are an essential forum for communication and information sharing .
Approach: This paper compares natural language processing to suicidal ideation detection and risk assessment . it urges better intention understanding for reliable suicide risk assessment with computational methods .
Outcome: This paper compares the performance of natural language processing to suicidal ideation detection and risk assessment tasks.

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