Stock2Vec -- From ML to P/E – Towards Data Science – Medium

It builds word vectors to represent word meanings. And it learns these meanings solely by the surrounding words. You can then use these word vectors as the input to make machine learning algorithms perform better and find interesting abstractions. What happens if we apply Word2Vec to the stock market? In Word2Vec the window for each word is the surrounding words.