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Software . 2019
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textility - An R package for applied text mining with an example of topic modellling in the field of research on sustainable energy

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 27 Jan 2019 English Publisher:Zenodo
Authors: Manuel W. Bickel;
Code repository: https://github.com/manuelbickel/textility/tree/v0.1

doi: 10.5281/zenodo.2550718 , 10.5281/zenodo.2550719

textility - An R package for applied text mining with an example of topic modellling in the field of research on sustainable energy

Abstract

Release has been created to document data and code used for a scientific study. The code is work in progress. Please refer to the current version in Github. The repository is not tested / installation ready, although, most of the individual functions defined already work.

Keywords

text mining, auxiliary functions, topic modelling, sustainable energy

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selected citations
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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).
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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.
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