Biomedical Informatics Insights 2012:5 (Suppl. 1) 71-76
Original Research
Published on 30 Jan 2012
DOI: 10.4137/BII.S8949
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Due to the complexity of emotions in suicide notes and the subtle nature of sentiments, this study proposes a fusion approach to tackle the challenge of sentiment classification in suicide notes: leveraging WordNet-based lexicons, manually created rules, character-based n-grams, and other linguistic features. Although our results are not satisfying, some valuable lessons are learned and promising future directions are identified.
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