Webpage Classification based on Compound of Using HTML Features & URL Features and Features of Sibling Pages

Webpage classification plays an important role in information organization and retrieval. It involves assignment of one webpage to one or more than one predetermined categories. The uncontrolled features of web content implies that more work is required for webpage classification compared with traditional text classification. The interconnected nature of hyper text, however, carries some features which contribute to the process, for example HTML Tags and URL features of a webpage. This study illustrates that using such features along with features of sibling pages, i.e. pages from the same sibling, as well as Bayesian algorithm for combining the results of these features, it would be possible to improve the accuracy of webpage classification based on this algorithm.