Application of neural network technology for public opinion analysis
The research is devoted to studying and using neural network technologies, in particular algorithms and methods of natural language processing, to increase the efficiency of studying and analyzing public opinion of Ukraine’s partner countries regarding the war in Ukraine. The research involved analy...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | Ukrainian |
| Published: |
Igor Sikorsky Kyiv Polytechnic Institute
2024-12-01
|
| Series: | Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï |
| Subjects: | |
| Online Access: | http://journal.iasa.kpi.ua/article/view/296220 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850037015821680640 |
|---|---|
| author | Kyrylo Perevoznyk Yurii Parzhyn |
| author_facet | Kyrylo Perevoznyk Yurii Parzhyn |
| author_sort | Kyrylo Perevoznyk |
| collection | DOAJ |
| description | The research is devoted to studying and using neural network technologies, in particular algorithms and methods of natural language processing, to increase the efficiency of studying and analyzing public opinion of Ukraine’s partner countries regarding the war in Ukraine. The research involved analyzing and processing databases consisting of messages about the war in Ukraine on the social network Twitter. The resulting datasets were used to train several neural network models. The best classification results were obtained with the GPT-3.5-turbo model. For a deeper understanding of the results of the public opinion analysis, we created their visualization. The results of the study have shown the high efficiency of the selected solutions. They may be of great practical importance for improving methods of analyzing public opinion and making informed decisions based on a deep understanding of global feedback. |
| format | Article |
| id | doaj-art-16528dd96dbb4b31a85db5a92326c5ec |
| institution | DOAJ |
| issn | 1681-6048 2308-8893 |
| language | Ukrainian |
| publishDate | 2024-12-01 |
| publisher | Igor Sikorsky Kyiv Polytechnic Institute |
| record_format | Article |
| series | Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï |
| spelling | doaj-art-16528dd96dbb4b31a85db5a92326c5ec2025-08-20T02:56:59ZukrIgor Sikorsky Kyiv Polytechnic InstituteSistemnì Doslìdženâ ta Informacìjnì Tehnologìï1681-60482308-88932024-12-0149710610.20535/SRIT.2308-8893.2024.4.08334551Application of neural network technology for public opinion analysisKyrylo Perevoznyk0https://orcid.org/0009-0009-2327-1501Yurii Parzhyn1https://orcid.org/0000-0001-5727-1918Educational and Scientific Institute of Computer Science and Information Technology of National Technical University "Kharkiv Polytechnic Institute", KharkivEducational and Scientific Institute of Computer Science and Information Technology of National Technical University "Kharkiv Polytechnic Institute", KharkivThe research is devoted to studying and using neural network technologies, in particular algorithms and methods of natural language processing, to increase the efficiency of studying and analyzing public opinion of Ukraine’s partner countries regarding the war in Ukraine. The research involved analyzing and processing databases consisting of messages about the war in Ukraine on the social network Twitter. The resulting datasets were used to train several neural network models. The best classification results were obtained with the GPT-3.5-turbo model. For a deeper understanding of the results of the public opinion analysis, we created their visualization. The results of the study have shown the high efficiency of the selected solutions. They may be of great practical importance for improving methods of analyzing public opinion and making informed decisions based on a deep understanding of global feedback.http://journal.iasa.kpi.ua/article/view/296220public opinionneural networksnatural language processinglarge language modelssocial networksclassification |
| spellingShingle | Kyrylo Perevoznyk Yurii Parzhyn Application of neural network technology for public opinion analysis Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï public opinion neural networks natural language processing large language models social networks classification |
| title | Application of neural network technology for public opinion analysis |
| title_full | Application of neural network technology for public opinion analysis |
| title_fullStr | Application of neural network technology for public opinion analysis |
| title_full_unstemmed | Application of neural network technology for public opinion analysis |
| title_short | Application of neural network technology for public opinion analysis |
| title_sort | application of neural network technology for public opinion analysis |
| topic | public opinion neural networks natural language processing large language models social networks classification |
| url | http://journal.iasa.kpi.ua/article/view/296220 |
| work_keys_str_mv | AT kyryloperevoznyk applicationofneuralnetworktechnologyforpublicopinionanalysis AT yuriiparzhyn applicationofneuralnetworktechnologyforpublicopinionanalysis |