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RISS 인기검색어
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- 저자 : Velldal, Erik (검색결과 2 건)
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Topic Classification for Suicidology
Read, Jonathon,Velldal, Erik,Ovrelid, Lilja Korean Institute of Information Scientists and Eng 2012 Journal of Computing Science and Engineering Vol.6 No.2
Computational techniques for topic classification can support qualitative research by automatically applying labels in preparation for qualitative analyses. This paper presents an evaluation of supervised learning techniques applied to one such use case, namely, that of labeling emotions, instructions and information in suicide notes. We train a collection of one-versus-all binary support vector machine classifiers, using cost-sensitive learning to deal with class imbalance. The features investigated range from a simple bag-of-words and n-grams over stems, to information drawn from syntactic dependency analysis and WordNet synonym sets. The experimental results are complemented by an analysis of systematic errors in both the output of our system and the gold-standard annotations.
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Topic Classification for Suicidology
Jonathon Read,Erik Velldal,Lilja Øvrelid 한국정보과학회 2012 Journal of Computing Science and Engineering Vol.6 No.2
Computational techniques for topic classification can support qualitative research by automatically applying labels in preparation for qualitative analyses. This paper presents an evaluation of supervised learning techniques applied to one such use case, namely, that of labeling emotions, instructions and information in suicide notes. We train a collection of one-versus-all binary support vector machine classifiers, using cost-sensitive learning to deal with class imbalance. The features investigated range from a simple bag-of-words and n-grams over stems, to information drawn from syntactic dependency analysis and WordNet synonym sets. The experimental results are complemented by an analysis of systematic errors in both the output of our system and the gold-standard annotations.
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