Detecting influencers in social networks generally relies on a graph structure representing the users and their interactions. Recent approached take into account, in addition to the struc- ture of the graph, the textual content generated by the users. Along this line, our approach uses information extracted from the textual content by linguistic rules and then integrated into a machine learning system. In this work we present the developed prototype along with the visualization used in order to facilitate the interpretation of the results.