Preprocessing of Slovak Blog Articles for Clustering

Web content clustering is very important part of topic detection and tracking issue. In our paper we focus on pre-processing phase of web content clustering. We focus on blog articles published in Slovak language. We evaluate the impact of different data pre-processing methods on success of blog clustering. We found out that applying various text data manipulation techniques in preprocessing can improve the quality of clusters. The quality of clusters is measured by traditional clustering metrics like precision, recall and F-measure.