Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis
Journal of Medical Internet Research2020Vol. 22(7), pp. e17758–e17758
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Diana Ramírez‐Cifuentes, Ana Freire, Ricardo Baeza‐Yates, Joaquim Puntí, Pilar Medina Bravo, Diego Alejandro Velazquez, Josep M. Gonfaus, Jordi Gonzàlez
Abstract
The types of attributes analyzed are significant for detecting users at risk, and their combination outperforms the results provided by generic, exclusively text-based baseline models. After evaluating the contribution of image-based predictive models, we believe that our results can be improved by enhancing the models based on textual and relational features. These methods can be extended and applied to different use cases related to other mental disorders.
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