IDENTIFICATION AND CLASSIFICATION OF TRAINING NEEDS FROM UNSTRUCTURED COMPUTER TEXT USING A NEURAL NETWORK

摘要

Methods and apparatuses are described for generation of a data model for identifying and classifying training needs of individuals. A computer data store stores unstructured text. A server computing device generates a vector for search queries in the unstructured text, and generates a training course classification data model that comprises a multi-layered neural network. The server computing device executes the training course classification model using the vectors as input to generate a training course recommendation output vector. The server computing device updates the training course classification data model based upon a rating value for a training course.