Comparison of topic extraction approaches and their results.

Autor/inn/en	Velden, Theresa; Boyack, Kevin W.; Gläser, Jochen; Koopman, Rob; Scharnhorst, Andrea; Wang, Shenghui
Titel	Comparison of topic extraction approaches and their results.
Quelle	In: Scientometrics, (2017) 2, S.1169-1221 PDF als Volltext Verfügbarkeit
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0138-9130
DOI	10.1007/s11192-017-2306-1
Schlagwörter	Topic extraction; Comparative methods; Astrophysics; Data modeling; Clustering; Topic labeling; Science mapping
Abstract	Abstract This is the last paper in the Synthesis section of this special issue on ‘Same Data, Different Results’. We first provide a framework of how to describe and distinguish approaches to topic extraction from bibliographic data of scientific publications. We then compare solutions delivered by the different topic extraction approaches in this special issue, and explore where they agree and differ. This is achieved without reference to a ground truth, since we have to assume the existence of multiple, equally important, valid perspectives and want to avoid bias through the adoption of an ad-hoc yardstick. Instead, we apply different ways to quantitatively and visually compare solutions to explore their commonalities and differences and develop hypotheses about the origin of these differences. We conclude with a discussion of future work needed to develop methods for comparison and validation of topic extraction results, and express our concern about the lack of access to non-proprietary benchmark data sets to support method development in the field of scientometrics.
Erfasst von	OLC
Update	2023/2/05