1) text set density
文本集密度
1.
A method of feature selection and weighting scheme based on text set density is proposed, by which the set containing least elements and representing all variable information of a text can be found.
提出了一种基于文本集密度的特征词选择与权值计算的方法AMTW (ApproachofModifyingTermWeighting) 。
2.
In this paper, we will propose a method of feature selection and weighting scheme based on text set density,which is a way of measure of contribution to the text set density about some word.
在这篇论文中 ,我们提出了一种基于文本集密度的特征词选择与权重计算方案的方法。
2) text density
文本密度
1.
This approach extracted full text of Chinese web pages based on the text density of each text node which is computed by caculating the ratio of text to html code length according to DOM tree.
该方法首先利用DOM树计算文本结点的文本密度,即文本长度与HTML源码长度之比,再利用贝叶斯判别准则计算密度区分阈值,最后根据文本密度与密度区分阈值的比较结果抽取正文,即大于密度区分阈值的结点就判定为正文文本结点,小于或等于密度区分阈值的结点则判定为非正文文本结点,将所有判定为正文文本结点的文本连接起来即为要抽取的网页正文。
3) anchor density
锚文本密度
4) capital(technique) intensity
资本(技术)密集度
5) high capital intensity
高资本密集度
6) human capital character
人文资本密度
补充资料：非密度制约因素(见密度制约因素)
非密度制约因素(见密度制约因素)
l焦非密度制约因素见生态因素、密度制约后
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条