Thomas Elmar Kolb

Projektass. Dipl.-Ing. / BSc

Thomas Elmar Kolb

Roles

PreDoc Researcher
Data Science, E194-04
Curriculum Commission for Business Informatics
Substitute Member

Contact

Publications

The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic / Kolb, T. E., Nalis, I., Sertkan, M., & Neidhardt, J. (2022). The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic. In Kolb Thomas (Ed.), Unofficial Proceedings of the 5th FAccTRec Workshop on Responsible Recommendation at RecSys 2022. https://doi.org/10.48550/ARXIV.2209.07608
Project: CDL-RecSys (2022–2028)
Dynamic sentiment analysis for measuring media bias / Kolb, T. E. (2022). Dynamic sentiment analysis for measuring media bias [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.73300
Download: PDF (1.15 MB)
The ALPIN Sentiment Dictionary: Austrian Language Polarity in Newspapers / Kolb, T., Sekanina, K., Kern, B. M. J., Neidhardt, J., Wissik, T., & Baumann, A. (2022). The ALPIN Sentiment Dictionary: Austrian Language Polarity in Newspapers. In LREC 2022 Conference Proceedings (pp. 4708–4716). European Language Resources Association. https://doi.org/10.34726/4101
Download: PDF (604 KB)
Project: DYSEN (2020–2021)
Creating an Austrian language polarity dictionary with the crowd / Kolb, T. E., Sekanina, K., Kern, B. M. J., Neidhardt, J., Baumann, A., & Wissik, T. (2021, December 11). Creating an Austrian language polarity dictionary with the crowd [Conference Presentation]. Workshop: “Österreichisches Treffen zu Sentimentinferenz (ÖTSI)” der Österreichischen Linguistik-Tagung 2021, Austria. http://hdl.handle.net/20.500.12708/153831
Download: Slides of the Presentation (1.08 MB)
Project: DYSEN (2020–2021)
A review and cluster analysis of German polarity resources for sentiment analysis / Kern, B., Baumann, A., Kolb, T., Sekanina, K., Hofmann, K., Wissik, T., & Neidhardt, J. (2021). A review and cluster analysis of German polarity resources for sentiment analysis. In 3rd Conference on Language, Data and Knowledge (LDK 2021) (pp. 1–17). OASICS. https://doi.org/10.4230/OASIcs.LDK.2021.37

Supervisions

COVID-19 and Populism in Austrian News User Comments - A Machine Learning Approach / Wagne, A. (2023). COVID-19 and Populism in Austrian News User Comments - A Machine Learning Approach [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.105940
Download: PDF (1.84 MB)
Exploring Group Fairness in News Media Recommendations: Algorithms, Metrics, and Grouping / Huebner, B. (2023). Exploring Group Fairness in News Media Recommendations: Algorithms, Metrics, and Grouping [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.107255
Download: PDF (870 KB)