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.
Digital Object Identifier (DOI)
Yu, Ning; Kübler, Sandra; Herring, Joshua; Hsu, Yu-Yin; Israel, Ross; and Smiley, Charese, "LASSA: Emotion Detection via Information Fusion" (2012). Information Science Faculty Publications. 14.