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, Gürcistan, 24 - 27 Haziran 2024, ss.296-299 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/blackseacom61746.2024.10646271
  • Basıldığı Şehir: Tbilisi
  • Basıldığı Ülke: Gürcistan
  • Sayfa Sayıları: ss.296-299
  • Kocaeli Üniversitesi Adresli: Evet

Özet

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.