• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Discovering AI-enabled convergences based on BERT and topic network

Vol. 17, No. 3, March 31, 2023
10.3837/tiis.2023.03.018, Download Paper (Free):

Abstract

Various aspects of artificial intelligence (AI) have become of significant interest to academia and industry in recent times. To satisfy these academic and industrial interests, it is necessary to comprehensively investigate trends in AI-related changes of diverse areas. In this study, we identified and predicted emerging convergences with the help of AI-associated research abstracts collected from the SCOPUS database. The bidirectional encoder representations obtained via the transformers-based topic discovery technique were subsequently deployed to identify emerging topics related to AI. The topics discovered concern edge computing, biomedical algorithms, predictive defect maintenance, medical applications, fake news detection with block chain, explainable AI and COVID-19 applications. Their convergences were further analyzed based on the shortest path between topics to predict emerging convergences. Our findings indicated emerging AI convergences towards healthcare, manufacturing, legal applications, and marketing. These findings are expected to have policy implications for facilitating the convergences in diverse industries. Potentially, this study could contribute to the exploitation and adoption of AI-enabled convergences from a practical perspective.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
J. M. Kim, S. Y. Lee, W. S. Lee, "Discovering AI-enabled convergences based on BERT and topic network," KSII Transactions on Internet and Information Systems, vol. 17, no. 3, pp. 1022-1034, 2023. DOI: 10.3837/tiis.2023.03.018.

[ACM Style]
Ji Min Kim, Seo Yeon Lee, and Won Sang Lee. 2023. Discovering AI-enabled convergences based on BERT and topic network. KSII Transactions on Internet and Information Systems, 17, 3, (2023), 1022-1034. DOI: 10.3837/tiis.2023.03.018.

[BibTeX Style]
@article{tiis:38517, title="Discovering AI-enabled convergences based on BERT and topic network", author="Ji Min Kim and Seo Yeon Lee and Won Sang Lee and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2023.03.018}, volume={17}, number={3}, year="2023", month={March}, pages={1022-1034}}