- older, more complicated method is just to concatenate all word embeddings into single vector input, feed into [[Deep Learning|Neural Network]] with [[Softmax Activation Function]], then train on output predictions ![[CleanShot 2024-07-09 at [email protected]|400]] - simpler, more efficient method is Word2Vec