This article aims to improve the algorithm of term weighting in automated text classification.
文章研究并改进了文本自动分类中的特征权重算法。
The algorithm imports title weight coefficient to improve the term weighting in conjuction with a new classification algorithm.
引入标题权重系数改进词语权重，并提出了一种新的分类算法。
Text representation approaches with term weighting schemes such as commonly used TF/IDF are widely used to extract indexing terms of documents.
文本表达是指将表达文献主题内容的词汇抽取出来的过程。常用的向量空间表达法主要采用TF/IDF等权重法。
Text representation approaches with term weighting schemes such as commonly used TF/IDF are widely used to extract indexing terms of documents.
文本表达是指将表达文献主题内容的词汇抽取出来的过程。常用的向量空间表达法主要采用TF/IDF等权重法。
应用推荐