title: LASSA: Emotion Detection via Information Fusion.
abstract: 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.
authors.affiliation: Assistant Professor, University of Kentucky, Lexington, KY, USA.
authors.forename: Ning
authors.initials: N
authors.lastname: Yu
authors.forename: Sandra
authors.initials: S
authors.lastname: Kübler
authors.forename: Joshua
authors.initials: J
authors.lastname: Herring
authors.forename: Yu-Yin
authors.initials: YY
authors.lastname: Hsu
authors.forename: Ross
authors.initials: R
authors.lastname: Israel
authors.forename: Charese
authors.initials: C
authors.lastname: Smiley