The Use of Latent Semantic Analysis for Political Communication: Topics Extraction for Election Campaigns

In the era of the digital revolution, the ability to share and analyze user-generated content has opened new challenges for researchers. Especially in the political field, probing public opinion and understanding how online users express themselves on a given political issue is becoming increasingly central to parties and politicians. The contribute shows a strategy for extracting the major issues of discussion on which to base the campaign of politicians running for election. To do this, latent semantic analysis was applied to contents produced within a local Facebook group. At the end of the work, the themes that will be the basis for the agenda setting of the political class are displayed.