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Discipline classification of research publications using keyword extraction algorithms

Authors: Arhiliuc, Cristina;

Discipline classification of research publications using keyword extraction algorithms

Abstract

The methodology proposed in this research in progress paper aims to provide a good content-based classification for the articles from VABB-SHW. However, the keywords extracted could be used for further analysis like the evolution of topics and their dynamics in different disciplines, countries, universities, departments etc. It could also show the emergence of new subjects and disciplines. We expect, by the time of the conference, to have more results. For further research, it would be interesting extend our data with publications from other national and international databases and with non-SSH publications.

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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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