摘要
运用随机关键词产生技术将带有关键词的文本表示为一组关键词的条件概率向量,对文本特征空间进行转换,既有效的实现了一个不同于传统的特征降维过程,新的文本特征空间又能很好的覆盖到文本关键词的信息。
A text with keywords may be presented a conditional probability value vector of a set of keywords by using stochastic keyword generation, implementing text Feature space transformation. It is a process that differs from the traditional text Feature dimension reduction,and the new text Feature space can also override the text keywords efficiently.
出处
《电脑与信息技术》
2008年第4期43-45,共3页
Computer and Information Technology
关键词
特征降维
随机关键词产生
关键词
feature dimension reduction
stochastic keyword generation
keyword
