What is the primary mathematical reason for using a softmax function in the output layer of a multi-class sentiment analysis model?

The primary mathematical reason for using a softmax function is to transform a vector of raw, unconstrained numerical scores, known as logits, into a probability distribution where each value is between zero and one and all values sum exactly to one. In a multi-class sentiment analysis model, the output layer produces a raw score for every possible category,....