Node Recommendation System Utilizing NLP Models on No-Code Platforms

Demir M. A., Ölmez E., Yıldız U., Konyar M. Z., Akbulut O.

12th IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2024, Tbilisi, Georgia, 24 - 27 June 2024, pp.296-299, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/blackseacom61746.2024.10646271
  • City: Tbilisi
  • Country: Georgia
  • Page Numbers: pp.296-299
  • Kocaeli University Affiliated: Yes

Abstract

No-code platforms offer an easy and fast option for application development in industrial sectors. However, challenges arise in the process of connecting nodes when developing applications. This study proposes a solution to this challenge by introducing a natural language processing (NLP) based method. The proposed method trains artificial intelligence models inspired by NLP algorithms such as bi-gram and tri-gram. Experimental studies demonstrate that proposed method achieves high accuracy in node recommendations.