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| Title | Document Classification Method with Small Training Data (in Japanese) |
|---|---|
| Authors | Yasunari MAEDA 、Hideki YOSHIDA 、Toshiyasu MATSUSHIMA |
| Released Year | 2009 |
| Format | International Conference |
| Category | Knowledge information processing |
| Jounal Name | ICROS-SICE International Joint Conference 2009 |
| Jounal Page | pp.138-141, Fukuoka, Japan |
| Published Year | 2009 |
| Published Month | 8 |
| Abstract （English） |
Document classification is one of important topics in the field of NLP(Natural Language Processing). In our previous research we've proposed a document classification method which minimizes an error rate with reference to a Bayes criterion. But when the number of documents in training data is small, the accuracy of the previous method is low. So in this research we propose a document classification method whose accuracy is higher than the previous method when the number of documents in training data is small. |
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