期刊论文

A Chinese Text Keyword Extraction Method Based on theCombination of TF-IDF and TextRank—— A Case Study of Sports News

中文

软件工程

2096-1472

2023

26

08

6-10

10.19644/j.cnki.issn2096-1472.2023.008.002

本校为第一机构

利用文本挖掘技术进行体育热点分析,可以为体育领域的发展提供更多有用的信息。文中提出了一种基于TF-IDF(Term Frequency-Inverse Document Frequency,词频-逆文档频率)和TextR...展开更多 利用文本挖掘技术进行体育热点分析,可以为体育领域的发展提供更多有用的信息。文中提出了一种基于TF-IDF(Term Frequency-Inverse Document Frequency,词频-逆文档频率)和TextRank(文本排序)的中文文本关键词提取方法,该方法首先采用分词、去除停用词等对文本进行预处理;其次使用TF-IDF算法计算每个词的重要性并进行归一化处理,同时使用TextRank算法权衡单词之间的关系并计算每个单词的得分以进行归一化处...

Using text mining techniques for sports hot topic analysis can provide more useful information for the development of the sports field.This paper proposes a method for extracting Chinese text keywords based on TF-IDF and TextRank.This method preprocesses the text by tok...MORE Using text mining techniques for sports hot topic analysis can provide more useful information for the development of the sports field.This paper proposes a method for extracting Chinese text keywords based on TF-IDF and TextRank.This method preprocesses the text by tokenizing and removing stop words,and then calculates ...