Citation

Pedersen T. Biomed. Inform. Insights 2012; 5(Suppl 1): 185-193.

Affiliation

Department of Computer Science, University of Minnesota, Duluth, MN, 55812, USA.

Copyright

(Copyright © 2012, Libertas Academica)

DOI

10.4137/BII.S8953

PMID

22879775

PMCID

PMC3409475

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.

Language: en