@article{ref1,
title="Rule-based and lightly supervised methods to predict emotions in suicide notes",
journal="Biomedical informatics insights",
year="2012",
author="Pedersen, Ted",
volume="5",
number="Suppl 1",
pages="185-193",
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.<p /> <p>Language: en</p>",
language="en",
issn="1178-2226",
doi="10.4137/BII.S8953",
url="http://dx.doi.org/10.4137/BII.S8953"
}