Data Science: terminology analysis with Bibliometrix

This project was originated by the thriving will to analyze the variety of trends regarding Data Science terminology across every paper published until June 2023. After extracting publishings utilising query and sources from WoS platform, a unifying research tool that enables the user to acquire, analyze, and disseminate database information in a timely manner, we analyzed it using Bibliometrix, an R package [1] with noteworthy data visualization instruments and a friendly web interface called BiblioShiny. We conducted a query searching for any of the following five words: Artificial Intelligence, Machine Learning, Neural Network, Deep Learning and Statistical Learning, including each and every possible declination (e.g. AI, Neuronal Networks, Artificial Neural Networks etc.) of this 5 popular terminologies. We tried to trace a link between ML, DL, AI, SL evolution and the publication of cornerstone papers in these fields; moreover, we performed a general bibliometrics analysis on our dataset which, to the best of our knowledge, represents the first attempt to use this R-library on a dataset with such a high number of bibliometric records