A Hybrid Model for Automatic Emotion Recognition in Suicide Notes

@inproceedings{Yang2012AHM,
  title={A Hybrid Model for Automatic Emotion Recognition in Suicide Notes},
  author={Hui Yang and Alistair Willis and Anne de Roeck and Bashar Nuseibeh},
  booktitle={Biomedical informatics insights},
  year={2012}
}
We describe the Open University team's submission to the 2011 i2b2/VA/Cincinnati Medical Natural Language Processing Challenge, Track 2 Shared Task for sentiment analysis in suicide notes. This Shared Task focused on the development of automatic systems that identify, at the sentence level, affective text of 15 specific emotions from suicide notes. We propose a hybrid model that incorporates a number of natural language processing techniques, including lexicon-based keyword spotting, CRF-based… CONTINUE READING
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