欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
TF-IDF是文本特征赋权的常用方法.该方法简单易行,但没有考虑位置因素对特征赋权的影响.通过修改因子,分析不同条件下文本表现形式的差异,提出3个基于位置的文本特征加权方法.随后的文本分类试验表明,此加权模型相比较于传统的方法,均具有较好的文本标注效果.
英文摘要：
TF-IDF is a kind of common methods used to measure the terms in a document.This method is easy but it considers no factor of the position.By modifying the TF-IDF with the position information and analyzing the difference of texts form under the different situation,we put forward three means based on positions to weight the terms.We have a test about text categorization and the result shows that these methods have a better precision than the common TF-IDF.
同期刊论文项目
同项目期刊论文
An interactive approach to multiple attribute group decision making with multi-granular uncertain li
Minimizing deviations models for solving MADM problems with preference information on alternatives i
A practical procedure for group decision making under incomplete multiplicative linguistic preferenc
Multiple-attribute group decision making with different formats of preference information on attribu
An interactive procedure for linguistic multiple attribute decision making with incomplete weight in
Some similarity measures of intuitionistic fuzzy sets and their applications to multiple attribute d
期刊信息
位置：