Analysis of text analytics methods for knowledge extraction from Ukrainian-language social media

• Datum: 2026
• Hauptverfasser: Terentiev, Oleksandr, Abroskin, Yurii, Duda, Volodymyr, Prosyankina-Zharova, Tetyana
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: Kyiv National University of Construction and Architecture 2026
• Schlagworte: text analytics; data processing; Coherence Score; F1-score; LSA; NMF; LDA; Top2Vec; BERTopic; OSINT
• Online Zugang: https://es-journal.in.ua/article/view/358171
• Назва журналу: Environmental safety and natural resources

The purpose of the study is to review and systematize current text analytics and natural language processing methods for knowledge extraction from unstructured social media content, with a focus on Ukrainian-language sources.A comparative analysis of topic modelling methods (LSA, NMF, LDA, HDP, Top2...