Web Content Classification: A Survey

TL;DR

This survey reviews methods for classifying web content, highlighting challenges and features unique to web data, and discusses its significance in data mining applications.

Contribution

It provides a comprehensive overview of web content classification techniques and discusses the unique challenges posed by web data compared to traditional text classification.

Findings

Web classification is crucial for web directories and focused crawling.

Hypertext features can aid web page classification.

Web content's uncontrolled nature presents unique challenges.

Abstract

As the information contained within the web is increasing day by day, organizing this information could be a necessary requirement.The data mining process is to extract information from a data set and transform it into an understandable structure for further use. Classification of web page content is essential to many tasks in web information retrieval such as maintaining web directories and focused crawling.The uncontrolled type of nature of web content presents additional challenges to web page classification as compared to the traditional text classification, but the interconnected nature of hypertext also provides features that can assist the process. In this paper the web classification is discussed in detail and its importance in field of data mining is explored.