Biomedical Informatics Insights | |
Rule-based and Lightly Supervised Methods to Predict Emotions in Suicide Notes: | |
TedPedersen1  | |
关键词: rule-based; sentiment classification; suicide notes; | |
DOI : 10.4137/BII.S8953 | |
学科分类:医学(综合) | |
来源: Sage Journals | |
【 摘 要 】
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.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO201901211636740ZK.pdf | 522KB | download |