Bianka Parmová, Faculty of Economic Informatics, University of Economics in Bratislava, Slovak Republic
Mária Vojtková, Faculty of Economic Informatics, University of Economics in Bratislava, Slovak Republic

Type of article: scientific articles
Pages: 36 – 51

Abstract

A behavioral analysis of readers at the website, provides valuable information for the creators of the site and content, the utilization of which may help to increase revenue of the website operator. Revealing the most popular topics preferred by readers enables the web creators to gain deeper insights into which topics are the least interesting for users and vice versa, which topics attract readers the most. The aim of this paper is to create segments of online readers using text mining techniques, based on the articles read. We are using text mining techniques to extract topics from the articles of the news website. We can create user profiles based on the topic preferences of readers through the analysis results in connection with web traffic data.