Improved lexical similarities for hybrid clustering through the use of noun phrases extraction

Bart Thijs, Wolfgang Glänzel and Martin Meyer

No 572940, Working Papers of ECOOM - Centre for Research and Development Monitoring from KU Leuven, Faculty of Economics and Business (FEB), ECOOM - Centre for Research and Development Monitoring

Abstract: Clustering of hybrid document networks combining citation based links with lexical similarities suffered for a long time from the different properties of these underlying networks. In this paper we evaluate different processing options of noun phrases extracted from abstracts using natural language processing to improve the measurement of the lexical component. Term shingles of different length are created from each of the extracted noun phrases. We discuss twenty different extraction-shingling scenarios and compare their results. Some scenarios show no improvement compared with the previously used single term lexical approach used so far. But when all single term shingles are removed from the dataset the lexical network has properties which are comparable with those from a bibliographic coupling based network. Next, hybrid networks are built based on weighted combination of the two types of similarities with seven different weights. We demonstrate that removing all single term shingles provides the best results at the level of computational feasibility, comparability with bibliographic coupling and also in a community detection application.

Keywords: ECOOM-Biblio (search for similar items in EconPapers)
Date: 2017-02
References: Add references at CitEc
Citations:

Published in FEB Research Report MSI_1703

Downloads: (external link)
https://lirias.kuleuven.be/retrieve/440109 MSI_1703 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ete:ecoomp:572940

Access Statistics for this paper

More papers in Working Papers of ECOOM - Centre for Research and Development Monitoring from KU Leuven, Faculty of Economics and Business (FEB), ECOOM - Centre for Research and Development Monitoring
Bibliographic data for series maintained by library EBIB ().