@article{a58b9be8ce8a4c09a4d6f948ff3d5a53,
title = "Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords—Machine Learning as a Case Study",
keywords = "Computational linguistics, K-NN stability, Machine learning, Scientific literature, Temporal word embedding",
author = "Amna Dridi and Gaber, {Mohamed Medhat} and Azad, {Raja Muhammad Atif} and Jagdev Bhogal",
note = "Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2022",
month = mar,
doi = "10.3390/bdcc6010021",
language = "English",
volume = "6",
journal = "Big Data and Cognitive Computing",
publisher = "MDPI",
number = "1",
}