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. |
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