The session explores the usage and comparison of 5 different text encoding techniques: one-hot, target, hashing, binary and entity embeddings. The methods are needed in cases when text data must be represented numerically before used in a predictive model or neural network. A dataset from a support system is used where the aim is predicting case duration.