A Persian Web Page Classifier Applying a Combination of Content-Based and Context-Based Features

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A Persian Web Page Classifier Applying a Combination of Content-Based and Context-Based Features is a 2009 journal article written in English by M. Farhoodi, A. Yari, M. Mahmoudi and published in International Journal of Information Studies.

[edit] Abstract

There are many automatic classification methods and algorithms that have been propose for content-based or context-based features of web pages. In this paper we analyze these features and try to exploit a combination of features to improve categorization accuracy of Persian web page classification. In this work we have suggested a linear combination of different features and adjusting the optimum weighing during application. To show the outcome of this approach, we have conducted various experiments on a dataset consisting of all pages belonging to Persian Wikipedia in the field of computer. These experiments demonstrate the usefulness of using content-based and context-based web page features in a linear weighted combination.

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