Semantic Classification of Posts in Social Networks by Means of Concept Hierarchies

摘要

Social networks are in constant growth, here users share all kind of information such as news, pictures and their personal opinions about different topics. In order to a user can retrieve such content for a topic of interest, it must provide the terms believed to occur in the posts; but in a matter of semantics, this tends to leave out relevant results. This paper proposes an approach to perform semantic classification of posts in social networks using concept hierarchies (CH). This classification is considered as a first step towards semantic searching. In addition, a method to obtain a CH for a particular subject is also proposed. With the implementation of this approach, the obtained results reflect what it seems to be a so promising approach, obtaining more than 64% of accuracy on the F-measure.