Research focus: computational intelligence, machine learning, data science, text mining, deep learning, fuzzy systems.
Internal researchers - academics:
- Prof. Michal Munk
- Assoc. Prof. Martin Boďa
Internal researchers – PhD students:
- Abdelrahman Taha Youssef, M.Sc.
- Petr Šild, M.Sc.
- Evelyn Toseafa, M.Sc.
External collaborators:
- Prof. Vladimír Olej
- Dr. Aliaksandr Barushka
- Prof. Roberto Henriques (NOVA IMS, Universidade Nova de Lisboa)
- Prof. Jean-Michel Sahut (IDRAC Business School)
Research outputs:
- Hajek, P., & Sahut, J. M. (2022). Mining behavioural and sentiment-dependent linguistic patterns from restaurant reviews for fake review detection. Technological Forecasting and Social Change, 177, 121532.
- Hajek, P., & Novotny, J. (2022). Fuzzy rule-based prediction of gold prices using news affect. Expert Systems with Applications, 193, 116487.
- Hajek, P., Barushka, A., & Munk, M. (2020). Fake consumer review detection using deep neural networks integrating word embeddings and emotion mining. Neural Computing and Applications, 32(23), 17259-17274.
- Papouskova, M., & Hajek, P. (2019). Two-stage consumer credit risk modelling using heterogeneous ensemble learning. Decision Support Systems, 118, 33-45.
- Hajek, P., & Henriques, R. (2017). Mining corporate annual reports for intelligent detection of financial statement fraud–A comparative study of machine learning methods. Knowledge-Based Systems, 128, 139-152.
Projects:
- Digital transformation as part of the development of smart cities and regions.
- Aspect-based sentiment analysis of financial texts for predicting corporate financial performance.
- Information technologies and data analytics as a tool supporting the development of a smart region.
- A comprehensive analysis of the economic and social aspects of the sustainable innovation ecosystems´ functioning with regard to the role of the public sector.
- Towards a dynamic knowledge-based business model for open innovations.
- Information technologies as a means supporting decision making in modern knowledge society.
- Innovation of Artificial and Computational Intelligence II.
- Modelling emotions in verbal and nonverbal managerial communication to predict corporate financial risk.
- Information technologies as a means supporting development of smart society.
- Advanced Support of Smart Cities and Regions Development.
- Modelling dynamics and determinants of national and regional productivity based on knowledge and cooperative effects.
- Support of Development of Smart Cities and Regions.
- Topic and sentiment analysis of multiple textual sources for corporate financial decision-making.
- Economic and social development in private and public sector.
- Modelling of knowledge spill-over effects in the context of regional and local development.
- Scientific - research activities in systems engineering and information science.
- The role of text information in corporate financial distress prediction models - country-specific and industry-specific approaches.
- Regionalization of economic performance indicators in relation to quality of environment.
- Methodology of libraries´ services evaluation.
