| 基于类别空间模型的文本倾向性分类方法 |
| |
| 引用本文： | 李艳玲,戴冠中,朱烨行. 基于类别空间模型的文本倾向性分类方法[J]. 计算机应用, 2007, 27(9): 2194-2196 |
| |
| 作者姓名： | 李艳玲 戴冠中 朱烨行 |
| |
| 作者单位： | 1. 西北工业大学,自动化学院,西安,710072;第二炮兵工程学院,计算机与指挥自动化系,西安,710025
2. 西北工业大学,自动化学院,西安,710072 |
| |
| 摘 要： | 在对现有分类方法和文本倾向性分类的复杂性进行分析的基础上，提出了一种基于类别空间模型的文本倾向性分类方法。该方法采用组合特征提取方法，基于词语对类别的倾向性进行分类。实验结果表明该方法有效地提高了倾向性分类的精度和速度。
|
| 关 键 词： | 文本倾向性分类 类别空间模型 特征提取 |
| 文章编号： | 1001-9081(2007)09-2194-03 |
| 收稿时间： | 2007-03-06 |
| 修稿时间： | 2007-03-06 |
Text tendency categorization method based on class space model |
| |
| LI Yan-ling,DAI Guan-zhong,ZHU Ye-hang. Text tendency categorization method based on class space model[J]. Journal of Computer Applications, 2007, 27(9): 2194-2196 |
| |
| Authors: | LI Yan-ling DAI Guan-zhong ZHU Ye-hang |
| |
| Abstract: | Text tendency categorization has important application in the content security management and public opinion analysis. Based on the studies of existing classification methods and the complexity of text tendency categorization, a text tendency categorization method based on class space model was proposed. By means of combined feature selection method, the new method realized text tendency classification based on the words of the types of tendency. Experimental results show that the method is effective in improving the accuracy and speed of text tendency categorization. |
| |
| Keywords: | text tendency classification class space model feature selection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机应用》浏览原始摘要信息 |
|
点击此处可从《计算机应用》下载全文 |
