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 approaches that are labelled together as the Computational History of Science, especially with the rise of data science and the...

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Detalhes bibliográficos

Principais autores:	Amna Dridi, Mohamed Medhat Gaber, Raja Muhammad Atif Azad, Jagdev Bhogal
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-02-01
Colecção:	Big Data and Cognitive Computing
Assuntos:	scientific literature computational linguistics temporal word embedding <i>k</i>-NN stability machine learning
Acesso em linha:	https://www.mdpi.com/2504-2289/6/1/21
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