Keyphrase extraction using extended list of stop words with automated updating of stop words list

Abstract

In the paper we consider the problem of keyphrase extraction. Our tasks is to examine additionally the approach to keyphrase extraction, which is based on the use of extended lists of stop words. The second objective of the research is to test the approach for automatic expansion of such extended lists. The obtained results allow to confirm the possibility of improving the quality of algorithms of keyphrase extraction. The results of experiments with the extended lists of stop words show the potential of the proposed approach.