Machine Learning and Link Analysis for Web Content Mining

Abstract

In this work we define a hybrid Web Content Mining strategy aimed to recognize within Web pages the main entity, intended as the short text that refers directly to the main topic of a given page. The salient aspect of the strategy is the use of a novel supervised Machine Learning model able to represent in an unified framework the integrated use of visual pages layout features, textual features and hyperlink description. The proposed approach has been evaluated with promising results.