Biomedical Informatics Insights | |
A Combined Approach to Emotion Detection in Suicide Notes: | |
AlexanderPak1  | |
关键词: emotion detection; machine-learning; SVM classifier; transducers; | |
DOI : 10.4137/BII.S8969 | |
学科分类:医学(综合) | |
来源: Sage Journals | |
【 摘 要 】
In this paper, we present the system we have developed for participating in the second task of the i2b2/VA 2011 challenge dedicated to emotion detection in clinical records. On the official evaluation, we ranked 6th out of 26 participants. Our best configuration, based upon a combination of both a machine-learning based approach and manually-defined transducers, obtained a 0.5383 global F-measure, while the distribution of the other 26 participants’ results is characterized by mean = 0.4875, stdev = 0.0742, min = 0.2967, max = 0.6139, and median = 0.5027. Combination of machine learning and transducer is achieved by computing the union of results from both approaches, each using a hierarchy of sentiment specific classifiers.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO201901215858456ZK.pdf | 972KB | download |