Word2vec is a natural language processing approach that was first published in 2013. To learn word connections from a vast corpus of text, the word2vec technique employs a neural network model. Once trained, a model of this kind may find synonymous terms or propose extra words for an incomplete text.
If you're ready to create Deep Art with our intuitive AI art dashboard, join the Artvy community.