Logical Intelligent Detection Algorithm of Chinese Language Articles Based on Text Mining

Sikandar Ali,Zihui Zheng

doi:10.1155/2021/8115551

Abstract

With the advent of the big data era and the rapid development of the Internet industry, the information processing technology of text mining has become an indispensable role in natural language processing. In our daily life, many things cannot be separated from natural language processing technology, such as machine translation, intelligent response, and semantic search. At the same time, with the development of artificial intelligence, text mining technology has gradually developed into a research hotspot. There are many ways to realize text mining. This paper mainly describes the realization of web text mining and the realization of text structure algorithm based on HTML through a variety of methods to compare the specific clustering time of web text mining. Through this comparison, we can also get which web mining is the most efficient. The use of WebKB datasets for many times in experimental comparison also reflects that Web text mining for the Chinese language logic intelligent detection algorithm provides a basis.

Highlights

At present, no matter at home or abroad, there are few research studies on the use of intelligent detection algorithms in detecting Chinese article logic
We proposed a logical similarity degree and mining algorithm of web text and three HTML text clustering-based algorithm; the use of WebKB datasets for many times in experimental comparison reflects that the proposed method for the Chinese language logic intelligent detection algorithm provides a basis
The ways of communication are more and more diverse, just like text mining is a technology introduced in China, and the algorithm of using text mining to realize the logical intelligent detection of Chinese language can better help us save manpower. is paper proposed a logical similarity degree and mining algorithm of Web Text and three HTML text clusteringbased algorithm, and the use of WebKB datasets for many times of experimental comparison reflects that the proposed method for the Chinese language logic intelligent detection algorithm provides a basis. is intelligent algorithm solves the problem of Chinese language logic and realizes text mining

Summary

Introduction

No matter at home or abroad, there are few research studies on the use of intelligent detection algorithms in detecting Chinese article logic. How to carry out intelligent recognition of Chinese article logic through text information will be a very useful research topic. Ere are few research studies on the use of intelligent detection algorithms in detecting Chinese article logic. We proposed a logical similarity degree and mining algorithm of web text and three HTML text clustering-based algorithm (hierarchical method, partition method, and grid method); the use of WebKB datasets for many times in experimental comparison reflects that the proposed method for the Chinese language logic intelligent detection algorithm provides a basis

Web Text Mining and Classification

Logical Intelligent Detection Algorithm of Chinese Language Articles

Experimental Analysis

Conclusion