A comparative study of word embedding methods for early risk prediction on the Internet

@inproceedings{Fano2019ACS,
  title={A comparative study of word embedding methods for early risk prediction on the Internet},
  author={Elena Fano},
  year={2019}
}
We built a system to participate in the eRisk 2019 T1 Shared Task. The aim of the task was to evaluate systems for early risk prediction on the internet, in particular to identify users suffering from eating disorders as accurately and quickly as possible given their history of Reddit posts in chronological order. In the controlled settings of this task, we also evaluated the performance of three different word representation methods: random indexing, GloVe, and ELMo. We discuss our system’s… CONTINUE READING

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