Identifying Empathetic Messages in Online Health Communities

@inproceedings{Khanpour2017IdentifyingEM,
  title={Identifying Empathetic Messages in Online Health Communities},
  author={Hamed Khanpour and Cornelia Caragea and Prakhar Biyani},
  booktitle={IJCNLP},
  year={2017}
}
Empathy captures one’s ability to correlate with and understand others’ emotional states and experiences. Messages with empathetic content are considered as one of the main advantages for joining online health communities due to their potential to improve people’s moods. Unfortunately, to this date, no computational studies exist that automatically identify empathetic messages in online health communities. We propose a combination of Convolutional Neural Networks (CNN) and Long Short Term… CONTINUE READING

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