ELARKHNU browse.title.page

Зараз показуємо 1 - 1 з 1

Information System for Detecting Abusive Speech in Audio Content by Means of Natural Language
(2024) Nazarov, V.; Molchanova, M.
An information technology for the detection of abusive speech is proposed, which is designed to receive input information in the form of a training set of data for a neural network model for determining emotional tonality and test audio content of the output data in the form of a numerical assessment of the abusiveness of the content and a conclusion regarding the acceptability of content according to the level of abuse. Appropriate software was developed to study the effectiveness of information technology for detecting abusive speech in Ukrainian-language audio content. The Python programming language was used to implement the intelligent system. The developed software includes a software module for training recurrent neural network models and further saving trained instances, and a software module for detecting abusive manifestations in Ukrainian-language audio content using trained neural network models. The developed test software modules make it possible to conduct an applied study of the information technology for detecting abusive speech