Automatic Extraction of Web Page Text Information Based on Network Topology Coincidence Degree

被引：2
|
作者：
Shu, Zhinian [1 ]
Li, Xiaorong [1 ]
机构：
[1] Chaohu Univ, Coll Informat Engn, Chaohu 238000, Peoples R China
来源：
WIRELESS COMMUNICATIONS & MOBILE COMPUTING | 2022年 / 2022卷
关键词：
INTERNET;
D O I：
10.1155/2022/9220661
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to effectively solve the above problems, an automatic extraction method of web text information based on network topology coincidence degree is proposed. Search engine, web crawler, and hypertext tag are used to classify web text information, and then, dimensionality reduction is carried out. After processing, the similarity of different features of web page text information is calculated, the similarity is sorted, and the similar text information is extracted according to the correlation based on segment estimation. The experimental results show that the designed method can simplify the complexity of the associated information of the data set and improve the amount of data collection and the success rate of information collection.
引用
收藏
页数：10
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