Визначення рівня пропаганди в оперних лібрето за допомогою засобів data mining та machine learning
The article presents an adapted multifactorial model that can be used to determine the level of propaganda in librettos to world operas. This model was created using the linear convolution method, for which eight indicators were selected that are most effective in identifying elements of propaganda...
Saved in:
| Date: | 2025 |
|---|---|
| Main Authors: | Dats, Iryna, Gavrilenko, Olena, Feshchenko, Kyrylo |
| Format: | Article |
| Language: | English |
| Published: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2025
|
| Subjects: | |
| Online Access: | http://journal.iasa.kpi.ua/article/view/335973 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | System research and information technologies |
Institution
System research and information technologiesSimilar Items
ОСНОВНІ ПРИНЦИПИ DATA MINING
by: Дубенко, М. B., et al.
Published: (2022)
by: Дубенко, М. B., et al.
Published: (2022)
Applying spectral decomposition to seismic facies clustering with unsupervised machine learning
by: Malikov, Ruslan, et al.
Published: (2025)
by: Malikov, Ruslan, et al.
Published: (2025)
Cloud service provider selection using reinforcement learning approach and providers’ reputation
by: Myroshnikova, I. Yu., et al.
Published: (2014)
by: Myroshnikova, I. Yu., et al.
Published: (2014)
Improvement teaching-learning-based optimization algorithm for solar cell parameter extraction in photovoltaic systems
by: Khaterchi, H., et al.
Published: (2025)
by: Khaterchi, H., et al.
Published: (2025)
Maximizing solar photovoltaic system efficiency by multivariate linear regression based maximum power point tracking using machine learning
by: Paquianadin, V., et al.
Published: (2024)
by: Paquianadin, V., et al.
Published: (2024)
Основи системізації організаційного менеджменту
by: Drogobytskij, Ivan N.
Published: (2020)
by: Drogobytskij, Ivan N.
Published: (2020)
Enhancing power system security using soft computing and machine learning
by: Venkatesh, P., et al.
Published: (2023)
by: Venkatesh, P., et al.
Published: (2023)
Synergy of quantum computing and federated learning in information technology detection of hidden target groups
by: Fadeichev, Serhii, et al.
Published: (2025)
by: Fadeichev, Serhii, et al.
Published: (2025)
Assessment of the impact of waste of mining and chemical enterprises on surface water quality
by: Shybanova, Alla M., et al.
Published: (2023)
by: Shybanova, Alla M., et al.
Published: (2023)
Predicting Filtered Image Quality Using Transfer Learning on Sentinel-1 Speckle Noise with DenseNet-121
by: Al-Senaikh, Raed, et al.
Published: (2025)
by: Al-Senaikh, Raed, et al.
Published: (2025)
Practical content of the elements of petrophysical model of terrigenous sandstones — oil and gas reservoirs in neural networks, deep learning and regression methods
by: Vyzhva, Serhiy, et al.
Published: (2025)
by: Vyzhva, Serhiy, et al.
Published: (2025)
IMPLEMENTING OF MICROSOFT AZURE MACHINE LEARNING TECHNOLOGY FOR ELECTRIC MACHINES OPTIMIZATION
by: Pliugin, V. E., et al.
Published: (2019)
by: Pliugin, V. E., et al.
Published: (2019)
To the issue of forecast assessment applicable for hydrogeological conditions of techno-ecosystem at Selidove mine group
by: Ulytsky, Oleg А., et al.
Published: (2019)
by: Ulytsky, Oleg А., et al.
Published: (2019)
Formation of three-dimensional image of the medium by the sum of CDP for the studies of geological structure of mine fields
by: Pilipenko, V., et al.
Published: (2015)
by: Pilipenko, V., et al.
Published: (2015)
DESIGN OF A MATLAB GUI FOR SHORT-TERM SOLAR FORECASTING BASED ON DEEP LEARNING
by: Matushkin, D., et al.
Published: (2023)
by: Matushkin, D., et al.
Published: (2023)
Еnvironmental hazards of the mining and chemical enterprises territory
by: Pohrebennyk, Volodymyr D., et al.
Published: (2019)
by: Pohrebennyk, Volodymyr D., et al.
Published: (2019)
Fractional-based iterative learning-optimal model predictive control of speed induction motor regulation for electric vehicles application
by: Nemouchi, B., et al.
Published: (2024)
by: Nemouchi, B., et al.
Published: (2024)
Identification of geological faults by geophysical methods for risk assessment in underground mining
by: Sukhinina, O.V.
Published: (2023)
by: Sukhinina, O.V.
Published: (2023)
Український сад як історико-культурний код нації: минуле, сьогодення, майбутнє
by: Ishchuk, Liubov, et al.
Published: (2025)
by: Ishchuk, Liubov, et al.
Published: (2025)
Resource-Saving Complex For Mine Water Demineralization
by: Tarelin, Anatoliy A., et al.
Published: (2018)
by: Tarelin, Anatoliy A., et al.
Published: (2018)
Resource-Saving Complex For Mine Water Demineralization
by: Tarelin, Anatoliy A., et al.
Published: (2018)
by: Tarelin, Anatoliy A., et al.
Published: (2018)
RSE-based flooding prediction within territories of closed coal mines of Ukraine
by: Ulytsky, Oleg, et al.
Published: (2021)
by: Ulytsky, Oleg, et al.
Published: (2021)
Використання рослин ґінкго білоба (Ginkgo biloba L.) у мистецтві бонсай
by: Tsybrovska, Nadiya
Published: (2024)
by: Tsybrovska, Nadiya
Published: (2024)
Satellite monitoring features of crystalline rocks mining territories within Zhitomyr region based on optical and radar remote sensing data
by: Shevchuk, Ruslan, et al.
Published: (2019)
by: Shevchuk, Ruslan, et al.
Published: (2019)
Information and analytical system for researching the impact of cryptocurrency mining towards CO₂ emissions
by: Terentiev, Oleksandr M., et al.
Published: (2024)
by: Terentiev, Oleksandr M., et al.
Published: (2024)
Methodics of data preprocessing in problem of sequential analysis
by: Moldavskaya, A. V., et al.
Published: (2017)
by: Moldavskaya, A. V., et al.
Published: (2017)
Prospects of the Bug mining district as an agglomeration of ore and non-ore mineral deposits for the reconstruction of the national economy of Ukraine in the post-war period
by: Yentin, V.A., et al.
Published: (2023)
by: Yentin, V.A., et al.
Published: (2023)
Архітектура електронних навчальних систем
by: Паламарчук, Євген Анатолійович
Published: (2021)
by: Паламарчук, Євген Анатолійович
Published: (2021)
Satellite monitoring of fire hazard of mining facilities (on the example of waste heaps in the L’viv-Volynskii coal basin)
by: Mychak, Anton, et al.
Published: (2025)
by: Mychak, Anton, et al.
Published: (2025)
ЕКСПЕРИМЕНТАЛЬНЕ ДОСЛІДЖЕННЯ ПОХИБОК ВИМІРЮВАНЬ РЕФЕРЕНТНИХ МАТРИЦЬ ДЖОНСА В СИСТЕМІ МЮЛЛЕР-ДЖОНС ПОЛЯРИМЕТРІЇ ПЛАЗМИ КРОВІ
by: Заболотна, Н. І., et al.
Published: (2018)
by: Заболотна, Н. І., et al.
Published: (2018)
Багатопараметрична поляризаційна джонс-матрична репрографія цифрових зображень двопроменезаломлення поліграфічних матеріалів
by: Ушенко, О.Г., et al.
Published: (2024)
by: Ушенко, О.Г., et al.
Published: (2024)
Yield prediction at field level
by: Kryvoshein, Oleksandr, et al.
Published: (2024)
by: Kryvoshein, Oleksandr, et al.
Published: (2024)
АНАЛІЗ ЗМІНИ ЧАСТОТИ В ОЕС УКРАЇНИ ЗА РІЗНИХ РЕЖИМІВ ЇЇ РОБОТИ
by: Кириленко , О.В., et al.
Published: (2023)
by: Кириленко , О.В., et al.
Published: (2023)
Спосіб експрес-оцінки октанового числа бензину з використанням портативного спектроімпедансного вимірювача і методів статистичного аналізу
by: Mamykin, A. V., et al.
Published: (2017)
by: Mamykin, A. V., et al.
Published: (2017)
АРХІТЕКТУРА І АЛГОРИТМИ ФУНКЦІОНУВАННЯ ТА АНАЛІЗУ ДАНИХ ДВОВИМІРНИХ СИСТЕМ ЛАЗЕРНОЇ ПОЛЯРИМЕТРІЇ БІОЛОГІЧНИХ ТКАНИН
by: Заболотна, Н. І.
Published: (2014)
by: Заболотна, Н. І.
Published: (2014)
МЕТОД ТА СИСТЕМА ДЖОНС-МАТРИЧНОГО КАРТОГРАФУВАННЯ ПЛІВОК ПЛАЗМИ КРОВІ ПРИ ПАТОЛОГІЯХ МОЛОЧНИХ ЗАЛОЗ
by: Радченко, К. О., et al.
Published: (2017)
by: Радченко, К. О., et al.
Published: (2017)
Кореляційно-фазовий інтелектуальний аналіз комплексного ступеню когерентності лазерних автофлуоресцентних зображень плазми крові та діагностика онкологічних змін органів людини
by: Ушенко, Ю. О., et al.
Published: (2023)
by: Ушенко, Ю. О., et al.
Published: (2023)
The problem of prediction of the transmission coefficient using neural networks with a limited quantity of data
by: Krysenko, Pavlo
Published: (2025)
by: Krysenko, Pavlo
Published: (2025)
Investigation of micro-seismic phenomena of anthropogenic origin
by: Zdeshchyts, V., et al.
Published: (2015)
by: Zdeshchyts, V., et al.
Published: (2015)
Адсорбційне вилучення антоціанів з екстрактів червонокачанної капусти на бентоніті: статистичний аналіз основних ефектів та ефектів взаємодії
by: Soldatkina, L. M., et al.
Published: (2017)
by: Soldatkina, L. M., et al.
Published: (2017)
Similar Items
-
ОСНОВНІ ПРИНЦИПИ DATA MINING
by: Дубенко, М. B., et al.
Published: (2022) -
Applying spectral decomposition to seismic facies clustering with unsupervised machine learning
by: Malikov, Ruslan, et al.
Published: (2025) -
Cloud service provider selection using reinforcement learning approach and providers’ reputation
by: Myroshnikova, I. Yu., et al.
Published: (2014) -
Improvement teaching-learning-based optimization algorithm for solar cell parameter extraction in photovoltaic systems
by: Khaterchi, H., et al.
Published: (2025) -
Maximizing solar photovoltaic system efficiency by multivariate linear regression based maximum power point tracking using machine learning
by: Paquianadin, V., et al.
Published: (2024)