Study on Keyword Extraction Algorithm
Based on Graphical Model
YE Zicheng1,2 ,YAN Guiying1,2
Author information+
1. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190;
2. University of Chinese Academy of Sciences, Beijing 100049
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.
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