Vectoring Words (Word Embeddings) - Computerphile

[radapox]

Just stumbled upon this Computerphile clip. I don't exactly follow the process, but it's a method of mapping word similarities (in the "semantic" sense), based purely on their occurrence within comparable contexts in a given corpus, not on some understanding of their actual "meaning". The results are surprisingly accurate. At the risk of sounding like a total noob here, could an approach like this be at all useful for the VM text? If so, it's probably already been done. In which case I'd love to learn more about it.