An Application of word2vec model

Implementing OddOneOut Algorithm

Photo by Manish Chablani from his article published in towardsdatascience

Word2Vec is one of the most popular techniques to learn word embeddings using a shallow neural network. Tomas Mikolov developed it in 2013 at Google. For the algorithm Odd One Out that we will implement soon, we will use the Google pre-trained model: ‘Googlenews-vectors-negative300.bin’, which can be downloaded from here. This model can be loaded using…