Finding The Next Disruptive Companies With VentureRadar

Consistently predicting the next disruptive company is the holy grail if you are interested in start-ups. We've been testing out some Deep Learning techniques on our data to help make such predictions, and have had some interesting early results we thought we'd share. Word2vec is a Deep Learning technique first described by Tomas Mikolov and his team at Google in 2013, and in basic terms it allows a model to be built for a particular dataset (or corpus) in which words are represented as vectors. One of the most interesting outcomes of this approach is that we can gain insights about text by analysing word vectors arithmetically. In a classic example of the power of Word2Vec (trained on a large dataset), the vector of Queen is found to be almost equal to King Woman – Man.