An information extraction method based on improved mixed text density web pages

Author:

Zhou Yuan1ORCID,Yin Xiaojun1,Yan Jingchen2

Affiliation:

1. School of Digital Information Engineering Minjiang Teachers College Fuzhou China

2. School of Control and Computer Engineering North China Electric Power University Beijing China

Abstract

AbstractTo improve the effect of web page information extraction, this paper proposes an improved information extraction method of mixed text density grids. Under various power constraints of the relay node itself, this paper proposes a design scheme of joint beamforming and artificial noise based on safety and rate maximisation. Furthermore, with the help of semidefinite relaxation techniques and first‐order approximations, it can be approximated as a semidefinite programming problem that is easy to solve. In addition, this paper uses an iterative algorithm based on a continuous convex approximation to process data to improve the accuracy of web page data extraction. The experimental results show that the information extraction method based on improved mixed text density webpages proposed in this paper has a good information extraction effect.

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

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