Papers by Vijay Mago
An Annotated Dataset for Explainable Interpersonal Risk Factors of Mental Disturbance in Social Media Posts (2023.findings-acl)
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| Challenge: | 1.6 million people in England are on waiting lists for mental health care . 8 million people are not considered sick enough to qualify for help . |
| Approach: | They construct and release an annotated dataset with human-labelled explanations and classification of IRF affecting mental disturbance on social media: TBe, PBu, and PBe. |
| Outcome: | The proposed model can be used to identify TBe and PBU in emotional spectrum of user’s historical social media profile. |
CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts (2022.lrec-1)
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| Challenge: | Social media platforms are important resources for investigating mental health of users. |
| Approach: | They propose a new dataset for Causal Analysis of Mental health in Social media posts (CAMS) they crawl and annotate 3155 Reddit data and reannotate a publicly available SDCNL dataset . |
| Outcome: | The proposed model outperforms existing models on 3155 Reddit posts and 1896 instances of the dataset. |