Machine Learning, NLP, Naturallanguageprocessing, Data Science, Word Embeddings.
queen is the feminine of king has never been fed directly to the model, but the model is able to capture the relation through word embeddings. Another example is: paris — france +germany = berlin. In other words, Paris is to France what Berlin is to Germany! Here again, text2vec is an easy to use