| 发明名称 | Method and system for document classification | ||
| 摘要 | The present invention provides a method for document classification, especially an adaptive learning method for document classification. The document includes a plurality of feature words. The method includes steps of calculating a plurality of similarities between the document and a categorical basic knowledge; calculating a first ratio of a first largest similarity to a second largest similarity of the plurality of similarities; storing the feature words of the document as an extensive categorical knowledge when the first ratio is larger than a first threshold value; and updating the categorical basic knowledge by using the extensive categorical knowledge. | ||
| 申请公布号 | US8762300(B2) | 申请公布日期 | 2014.06.24 |
| 申请号 | US201113275606 | 申请日期 | 2011.10.18 |
| 申请人 | Ming Chuan University | 发明人 | Lu Yang-Cheng;Chen Jen-Nan;Wei Yu-Chen |
| 分类号 | G06F15/18 | 主分类号 | G06F15/18 |
| 代理机构 | Gottlieb, Rackman & Reisman, P.C. | 代理人 | Gottlieb, Rackman & Reisman, P.C. |
| 主权项 | 1. A method for classifying a document including a plurality of feature words, the method comprising steps of: calculating a plurality of similarities between the document and a categorical basic knowledge; calculating a first ratio of a first largest similarity to a second largest similarity of the plurality of similarities; storing the feature words of the document as an extensive categorical knowledge when the first ratio is larger than a first threshold value; and updating the categorical basic knowledge by using the extensive categorical knowledge. | ||
| 地址 | Taipei TW | ||