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Information × Registration Number 0224U032420, 0123U105189 , R & D reports Title Synthesis of explanatory models for the classification of opinion authors based on the intellectual analysis of stylistic and sentimental features of social media chat messages. popup.stage_title Синтез пояснимих моделей класифікації авторів думок на основі інтелектуального аналізу стилометричних та сентиментальних особливостей повідомлень чатів соціальних медіа Head Sydorenko Valerii M., Кандидат технічних наук Registration Date 10-10-2024 Organization Kremenchuk Mykhailo Ostrohradskyi National University popup.description2  The object of research is the process of classifying the authors of opinions in social media The subject of the study is methods and means of explanatory classification of authors opinions in social media based on stylistic and sentimental features of messages. The purpose of the NDR is to improve the quality of the process of explanatory classification of authors opinions of social media in conditions of high anonymity of entities that generate complex content by developing explanatory models of author classification opinions based on intellectual analysis of stylistic and sentimental features of social media chat messages. Research methods - when performing tasks used: methods of data mining, text mining, processing technology natural language (NLP), social network analysis (SNA), machine learning (ML), explainable artificial intelligence (explainable AI, XAI), experimental research. In this work, a review of existing explanatory classification algorithms is performed authors' opinions and a new approach based on intellectual analysis is proposed stylistic and sentimental features of chat messages social media. Product Description popup.authors Chyzhmak Heorhii S. popup.nrat_date 2024-10-10 Close