Neural network natural language processing tools for identifying personal priorities in the project performers selection in the field of smart agriculture

Abstract

The identification of the analyzed individual’s personal priorities is proposed to be reduced to solving the classification problem based on the analysis of person’s text Internet traces using neural network technologies of natural language processing. As a training sample, it is proposed to use a set of text document vectors and the corresponding marks of personal priority classes