Scholarly data mining: A systematic review of its applications

A Dridi, MM Gaber, RMA Azad… - … Reviews: Data Mining …, 2021 - Wiley Online Library
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 …

DRIFT: A toolkit for diachronic analysis of scientific literature

A Sharma, G Chhablani, H Pandey, R Patil - arXiv preprint arXiv …, 2021 - arxiv.org
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 …

Vec2dynamics: A temporal word embedding approach to exploring the dynamics of scientific keywords—machine learning as a case study

A Dridi, MM Gaber, RMA Azad, J Bhogal - Big Data and Cognitive …, 2022 - mdpi.com
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 …

Tracking mutational semantics of SARS-CoV-2 genomes

R Singh, S Nagpal, NK Pinna, SS Mande - Scientific Reports, 2022 - nature.com
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 …