Adaptive Web Information Extraction and Intelligent Analysis Based on Improved Neural Network

With the rapid development of the Internet, the Web has become one of the most important knowledge bases. Extracting and using the knowledge efficiently and quickly has good application prospects and application value. The goal of Web information extraction is to locate and identify information of interest from multiple heterogeneous Web sites, and express the extraction results in a unified structured form. The inherent huge, heterogeneous and dynamic characteristics of Web pages on the Internet bring complexity, scalability, and adaptability to Web information extraction. This paper studies the adaptive Web information extraction and intelligent analysis based on the improved neural network.