基于图模型的关键词提取算法研究

叶子诚, 闫桂英

系统科学与数学 ›› 2021, Vol. 41 ›› Issue (4) : 967-975.

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PDF(442 KB)
系统科学与数学 ›› 2021, Vol. 41 ›› Issue (4) : 967-975. DOI: 10.12341/jssms19454

基于图模型的关键词提取算法研究

    叶子诚1,2,闫桂英1,2
作者信息 +

Study on Keyword Extraction Algorithm Based on Graphical Model

    YE Zicheng1,2 ,YAN Guiying1,2
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文章历史 +

摘要

自动抽取关键词技术应用广泛. 文章将文本抽象成一个图模型, 结合经典的TF-IDF算法和TextRank算法, 利用图上的随机游走算法实现排序. 以互联网上的新闻文本为数据进行了实验, 结果显示该算法效果较传统的关键词提取算法更优.

Abstract

Keyword automatic extraction algorithm has wide application. This paper abstracts the text into a graphical model, combines classical TF-IDF algorithm and TextRank algorithm and uses the random walk algorithm on the graph to rank the nodes. Experiment is conducted based on the news text data form Internet. The results show that the algorithm has better effect than that of traditional keyword extraction algorithm.

关键词

关键词提取, 图模型, 随机游走算法, TF-IDF算法, TextRank算法.

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叶子诚, 闫桂英. 基于图模型的关键词提取算法研究. 系统科学与数学, 2021, 41(4): 967-975. https://doi.org/10.12341/jssms19454
YE Zicheng, YAN Guiying. Study on Keyword Extraction Algorithm Based on Graphical Model. Journal of Systems Science and Mathematical Sciences, 2021, 41(4): 967-975 https://doi.org/10.12341/jssms19454
PDF(442 KB)

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