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Title:
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AUTOMATIC ANNOTATION ON OPINIONS IN CASE METHOD DISCUSSION BY SUPPORT VECTOR MACHINE |
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Author(s):
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Masaki Samejima, Daichi Hisakane, Norihisa Komoda |
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ISBN:
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978-989-8533-33-3 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2015 |
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Edition:
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Single |
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Keywords:
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Automatic Annotation, Support Vector Machine, Case Method Discussion, Opinion Mining. |
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Type:
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Full Paper |
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First Page:
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129 |
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Last Page:
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136 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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We address an automatic facilitation of a learners discussion based on the case method without a facilitator. The case method aims at discussing problems and solutions in a target case. However, the learners miss discussing some of problems and solutions. We propose an automatic annotation that puts either attribute of a problem or a solution on each opinion to support learners in finding whether problems and solutions have been sufficiently discussed. Because opinions about problems and solutions on the same case are similar to each other, the proposed method uses opinions that are correctly annotated in past discussions for annotating an appropriate attribute on each opinion in discussions of the same case. The annotation on each opinion is identified by Support Vector Machine (SVM) learned with opinions and annotations in the past discussion. |
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