Description

Abstract

     ONLINE Social Networks (OSNs) are today one of the most popular interactive medium to

communicate, share, and disseminate a considerable amount of human life information. The huge

and dynamic character of these data creates the premise for the employment of web content miningstrategies aimed to automatically discover useful information dormant within the data. A systemallowing OSN users to have a direct control on the messages posted on their walls. A flexible rule-based system, that allows users to customize the filtering criteria to be applied to their walls. Machine Learning-based soft classifier automatically labeling messages in support of content-based filtering.