Аннотация:
This article presents the results of the concept development and software information system for assessing text data tonality implementation by users based on artificial neural networks. The main problems in this topic are
identified, the features of using deep machine learning for the text data mining
problems are presented. An information system project has been developed, the
preprocessing procedure and data filtering algorithms have been described, the
specifics of data normalization for formalizing artificial neural network models
are formalized. The options for using the information system, the block structure, the interface prototype and the procedure for user interaction with the
software application are developed. The training effectiveness study results and
the use of an artificial neural network model to solve the tasks are presented, the
most suitable values of hyperparameters that have a primary impact on the
model quality are identified and selected.
