Node Recommendation System Utilizing NLP Models on No-Code Platforms

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.