Natural Language Processing in Web data mining

Abstract

This paper describes the research about Web data mining using Natural Language Processing. System accepts arbitrary data as input from Web document and then extracts information from the document. A new method to implement Web data mining is proposed in this paper. There are three steps in this system. First, the Web document will be decomposed to paragraph, sentence and phrase level. Second, extract information from all sentences. Finally, add the information to the knowledge model. The methods used have proved to be efficient for Web data mining with the experimental corpus. © 2010 IEEE.