Dorien Herremans has published an article in the popular online resource 'Towards Data Science' entitled "Representing music with Word2vec?" about our recent paper in the journal Neural Computing and Applications: Chuan, Agres, & Herremans (2018) "From context to concept: exploring semantic relationships in music with word2vec."
Her article is available here.

A collaboration with Prof Ching-Hua Chuan from the U of Miami and Prof. Dorien Herremans from SUTD has just been accepted for publication in Springer's Neural Computing and Applications (impact factor = 4.213). The manuscript is entitled 'From Context to Concept: Exploring Semantic Relationships in Music with Word2Vec', and describes how a popular NLP model called word2vec can be used to capture meaningful musical structure in complex polyphonic pieces of music. A copy of the preprint is available on my Publications page.