SNAP-BATNET: Cascading Author Profiling and Social Network Graphs for Suicide Ideation Detection on Social Media (N19-3)
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Rohan Mishra, Pradyumn Prakhar Sinha, Ramit Sawhney, Debanjan Mahata, Puneet Mathur, Rajiv Ratn Shah
| Challenge: | Suicide is a leading cause of death among youth worldwide and currently only uses text-based cues to detect suicidal ideation. |
| Approach: | They propose a deep learning based model to extract text-based features from tweets and a novel Feature Stacking approach to combine other community-based information. |
| Outcome: | The proposed model outperforms existing models on an annotated dataset of tweets using a three-phase strategy and proposes a novel Feature Stacking approach to combine other community-based information such as historical author profiling and graph embeddings. |
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