APPLICATION OF RECURRENT NEURAL NETWORKS TO DETERMINE THE EMOTIONAL COLORING OF THE TEXT
The paper considers the use of recurrent neural networks to determine the emotional coloring of a text. A set of data for training is presented and a method for their presentation in digital form is described. The process of constructing a neural network model using the LSTM architecture is considered. The training of the obtained model is described and conclusions are drawn from the results of work on the verification data.