I need to build semantic word embeddings representation of compound terms like electronic engineer or microsoft excel. One approach would be to use a standard pretrained model an average the words but, since I have a corpus  of my domain, is there a possible better approach?Thanks
How can I get semantic word embneddings for compound terms?
machine learning;word