A Machine Learning Text Categorization Techniques System to Filter Unwanted Words in Social Networks

Abstract

In order to filter those unbearable messages a system called Machine Learning is introduced. The aim of the present work is therefore to propose and experimentally evaluate an automated system, called Filtered Wall (FW), able to filter unwanted messages from OSN user walls. We exploit Machine learning (ML) text categorization techniques to automatically assign with each short text messages a set of categories based on its content. The major efforts in building a robust short text classifier (STC) are concentrated in the extraction and selection of a set characterizing and discriminating features.