Article in 'Towards Data Science' about our recent word2vec for music paper!

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.

New publication on modelling music using word2vec in press (Neural Computing and Applications)

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.