Scholarly data mining: A systematic review of its applications
During the last few decades, the widespread growth of scholarly networks and digital
libraries has resulted in an explosion of publicly available scholarly data in various forms …
libraries has resulted in an explosion of publicly available scholarly data in various forms …
DRIFT: A toolkit for diachronic analysis of scientific literature
In this work, we present to the NLP community, and to the wider research community as a
whole, an application for the diachronic analysis of research corpora. We open source an …
whole, an application for the diachronic analysis of research corpora. We open source an …
Vec2dynamics: A temporal word embedding approach to exploring the dynamics of scientific keywords—machine learning as a case study
The study of the dynamics or the progress of science has been widely explored with
descriptive and statistical analyses. Also this study has attracted several computational …
descriptive and statistical analyses. Also this study has attracted several computational …
Tracking mutational semantics of SARS-CoV-2 genomes
Natural language processing (NLP) algorithms process linguistic data in order to discover
the associated word semantics and develop models that can describe or even predict the …
the associated word semantics and develop models that can describe or even predict the …