74 citations · 147 across the 8 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.DL2017★ 22 cited
Contextualization of topics: Browsing through the universe of bibliographic information
Rob Koopman, Shenghui Wang, Andrea Scharnhorst
This paper describes how semantic indexing can help to generate a contextual overview of topics and visually compare clusters of articles. The method was originally developed for a…
cs.IR2017★ 24 cited
Mutual Information based labelling and comparing clusters
Rob Koopman, Shenghui Wang
After a clustering solution is generated automatically, labelling these clusters becomes important to help understanding the results. In this paper, we propose to use a Mutual Info…
cs.DL2017★ 74 cited
Clustering articles based on semantic similarity
Shenghui Wang, Rob Koopman
Document clustering is generally the first step for topic identification. Since many clustering methods operate on the similarities between documents, it is important to build repr…