Automatic Grouping of Machine Terms Based on Natural Language Processing (NLP)

This article analyzes the problem of automatic clustering of mechanical engineering terms using Natural Language Processing (NLP) technologies. The main objective of the study is to develop methods for automatically clustering mechanical engineering terminology based on semantic and syntactic features. During the research, TF-IDF, Word2Vec, and K-means algorithms were applied. The results showed that NLP-based automatic clustering is effective for systematizing mechanical engineering terminology, processing technical documents, and creating terminological databases.