title: Rule-based and lightly supervised methods to predict emotions in suicide notes.
abstract: This paper describes the Duluth systems that participated in the Sentiment Analysis track of the i2b2/VA/Cincinnati Children's 2011 Challenge. The top Duluth system was a rule-based approach derived through manual corpus analysis and the use of measures of association to identify significant ngrams. This performed in the median range of systems, attaining an F-measure of 0.45. The second system was automatically derived from the most frequent bigrams unique to one or two emotions. It achieved an F-measure of 0.36. The third system was the union of the first two, and reached an F-measure of 0.44.
authors.affiliation: Department of Computer Science, University of Minnesota, Duluth, MN, 55812, USA.
authors.forename: Ted
authors.initials: T
authors.lastname: Pedersen