Paper Abstract and Keywords |
Presentation |
2010-07-22 14:00
A Method for Estimating Political Categories in Minutes of Local Assemblies Hokuto Ototake (Fukuoka Univ.), Hideyuki Shibuki (Yokohama National Univ.), Yasutomo Kimura (Otaru Univ. of Commerce), Keiichi Takamaru (Utsunomiya Kyowa Univ.), Tatsunori Mori (Yokohama National Univ.) NLC2010-1 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose a method for estimating political categories in minutes of local assemblies. We can consider a problem of estimating political categories in minutes as a text classification problem with multiple labeling. With features of local assemblies considered, we show improvements of the estimation accuracy using classifiers concatenation based on "Cascading" and dividing a target paragraph with multiple categories into sentences. In the experiments, we achieve 70.8% precision and 66.9% recall. The performance of this method is higher than those without division of a paragraph. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Text categorization / Multi-category labeling / Segmented text categorization / Cascading / Local assembly minutes / / / |
Reference Info. |
IEICE Tech. Rep., vol. 110, no. 142, NLC2010-1, pp. 7-12, July 2010. |
Paper # |
NLC2010-1 |
Date of Issue |
2010-07-15 (NLC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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NLC2010-1 |
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