Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification

@article{Ruch2020CanXS,
  title={Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification},
  author={Alexander Ruch},
  journal={ArXiv},
  year={2020},
  volume={abs/2001.01126}
}
  • Alexander Ruch
  • Published 2020
  • Computer Science
  • ArXiv
  • Graph and language embedding models are becoming commonplace in large scale analyses given their ability to represent complex sparse data densely in low-dimensional space. Integrating these models' complementary relational and communicative data may be especially helpful if predicting rare events or classifying members of hidden populations - tasks requiring huge and sparse datasets for generalizable analyses. For example, due to social stigma and comorbidities, mental health support groups… CONTINUE READING

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