An Unsupervised Approach for Customer Need Assessment in E-commerce: A Case Study of Japanese Customer Reviews. - Máté Kovács; Daniil Buryakov; Victor V. Kryssanov (CCIOT, 2021)

Text Mining from Party Manifestos to Support the Design of Online Voting Advice Applications. - Daniil Buryakov; Airo Hino; Máté Kovács; Uwe Serdült (BESC, 2022)

Using Open Government Data to Facilitate the Design of Voting Advice Applications. - Daniil Buryakov; Máté Kovács; Victor V. Kryssanov; Uwe Serdült (ePart, 2022)

A Multi-Label Classifier for Online Petition Systems. - Daniil Buryakov; Máté Kovács; Uwe Serdült; Victor V. Kryssanov (DG.O, 2024)

Temporal Dynamics and Success Patterns of Online Petitions: A Time-Series Clustering Approach. - Máté Kovács; Daniil Buryakov; Didier Gohourou; Uwe Serdült (ICRAI, 2024)

Enhancing the design of voting advice applications with BERT language model. - Daniil Buryakov; Máté Kovács; Uwe Serdült; Victor V. Kryssanov (Frontiers Artif. Intell., 2024)