TY - JOUR PY - 2012// TI - LASSA: emotion detection via information fusion JO - Biomedical informatics insights A1 - Yu, Ning A1 - Kübler, Sandra A1 - Herring, Joshua A1 - Hsu, Yu-Yin A1 - Israel, Ross A1 - Smiley, Charese SP - 71 EP - 76 VL - 5 IS - Suppl 1 N2 - 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.

Language: en

LA - en SN - 1178-2226 UR - http://dx.doi.org/10.4137/BII.S8949 ID - ref1 ER -