摘要
特征项权重的计算方法是基于向量空间模型的文本分类中一个核心问题 ,计算方法的选择关系到最终分类的效果 .本文对文本分类中特征项权重的计算方法进行了说明 。
The approaches of feature item weighting are the core of text classification based on the Vector Space Model. The choosing of the approaches affects the final effect of classification much. In this paper, the approaches of feature item weighting in text classification are explained and compared under the result of (experiment.)
出处
《延边大学学报(自然科学版)》
CAS
2004年第3期202-204,234,共4页
Journal of Yanbian University(Natural Science Edition)
关键词
文本分类
向量空间模型
特征项权重
Text classification
Vector Space Model
Feature item weighting