Prof Eduan Kotzé
Associate Professor
Computer Science and Informatics
WWG 320
Computer Science and Informatics
IB 65
Mathematical Sciences Building 313

Short CV

  • SAICSIT Council: Council Member (2020-2024)



Peer-Reviewed Scholarly Books

  1. Brokensha, S., Kotzé, E., and Senekal, B.A. (2023). AI in and for Africa: A Humanistic Perspective. Chapman & Hall/CRC Artificial Intelligence and Robotics Series. 152 pages.
  2. Brokensha, S., Kotzé, E., and Senekal, B.A. (2019). Reinventing the Social Scientist and Humanist in the Era of Big Data: A perspective from South African Scholars. SUN MeDIA, Bloemfontein. 193 pages. Open Access:

Peer-Reviewed Chapters in Books

  1. Oriola, O., Kotzé, E., and Atawodi, I. (2023). A Feature Selection Method Based on Rough Set Attribute Reduction and Classical Filter-Based Feature Selection for Categorical Data Classification. In: Florez, H., Leon, M. (eds) Applied Informatics. ICAI 2023. Communications in Computer and Information Science, vol 1874 (p3-15). Springer, Cham.
  2. Combrink, HMVE., de Wet, K., de Villiers, F., Brokensha, S. and Kotzé, E. (2023). Basic digital education and the digital divide in South Africa: A Free State perspective. Combrink, H. M., Knedlik, T., Nour, S. S. O. M., Schuerkens, U., de Wet, K., & Wohlmuth, K. (Eds.). (2023). Business Opportunities, Start-Ups, and Digital Transformation in Africa (Vol. 23). LIT Verlag Münster. (pp.392-416).
  3. Oriola, O. and Kotzé, E. (2022). Exploring Neural Embeddings and Transformers for Isolation of Offensive and Hate Speech in South African Social Media Space. In: Gervasi, O., Murgante, B., Hendrix, E.M.T., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2022. ICCSA 2022. Lecture Notes in Computer Science, vol 13375 (p649-661). Springer, Cham. 
  4. Vidmar, R, Kotzé, E., and Van Der Merwe. (2020). The Suggestion of Design Theory Artefacts for e-Government in South Africa. In: Hofmann S., Müller O., Rossi M. (eds). Designing for Digital Transformation. Co-Creating Services with Citizens and Industry. DESRIST 2020. Lecture Notes in Computer Science, vol 12388 (pp. 81-92). Springer, Cham.
  5. Kotzé, E. (2017). A survey of Data Scientists in South Africa. In: Liebenberg J., Gruner S. (eds). ICT Education. SACLA 2017. Communications in Computer and Information Science, vol 730, 175–191. Springer, Cham.
  6. Kotzé, E. (2017). Augmenting a Data Warehousing Curriculum with Emerging Big Data Technologies. In: Liebenberg J., Gruner S. (eds). ICT Education. SACLA 2017. Communications in Computer and Information Science, vol 730, 128–143. Springer, Cham.

Accredited Journal Publications

  1. Oriola. O. and Kotzé, E.  (2024). Improving Detection of Multilingual South African Abusive Language using Skip-gram and Joint Multilevel Domain Adaptation. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(2), 1-28. 
  2. Senekal. B. and Kotzé, E. (2023). ‘n Pyplyn vir die versameling, ontsluiting en beskikbaarstelling van materiaal vir die Nasionale Afrikaanse Letterkundige Museum en -Navorsingsentrum (NALN) se knipselversameling. Stilet: Tydskrif van die Afrikaanse Letterkundeverening. 35(2), 35-62.
  3. Brokensha, S., Kotzé, E., and Senekal, B.A. (2023). Machine Learning for Document Classification in an Archive of the National Afrikaans Literacy Museum and Research Centre. Journal of the South African Society of Archivists. 56(1). 134-147.
  4. Senekal, B., and Kotzé, E. (2021). Names and ethnic heritage: a study of ethnic diversity in the company director network on the Johannesburg Stock Exchange. Nomina Africana: Journal of African Onomastics, 35(1),  41-54.
  5. Senekal, B., and Kotzé, E. (2021). Die vermeldingsnetwerk van gekanoniseerde Afrikaanse skrywers in die Afrikaanse literatuurstudie (2000–2020). Tydskrif vir Letterkunde, 58(2),  46-60.
  6. Oriola, O., Adeyemo, A., Papadaki, M., and Kotzé, E. (2021). A collaborative approach for national cybersecurity incident management. Information and Computer Security, 29(3), 457-484.
  7. Kotzé, E., and Senekal, B. (2020). Not just a language with white faces: Analysing #taalmonument on Instagram using machine learning. The Journal for Transdisciplinary Research in Southern Africa, 16(1), 8 pages. doi: 
  8. Oriola, O. and Kotzé, E. (2020). Improved semi-supervised learning technique for automatic detection of South African abusive language on Twitter. South African Computer Journal, 32(2), 56–79.
  9. Kotzé, E., Senekal, B., and Daelemans, W. (2020). Automatic classification of social media reports on violent incidents in South Africa using machine learning. South African Journal of Science, 116(3/4), Art. #6557.
  10. Beelders, T.R. and Kotzé, E. (2020). Augmenting the Business Intelligence Lifecycle Model with Usability: Using Eye-Tracking to Discover the why of Usability Problems. Electronic Journal of Information Systems Evaluation, 23(1), 96-111.
  11. Oriola, O. and Kotzé, E. (2020). Evaluating Machine Learning Techniques for Detecting Offensive and Hate Speech in South African Tweets. IEEE Access, 8(1), 21496–21509.
  12. Senekal, B. and Kotzé, E. (2019). Open Source Intelligence for conflict monitoring in contemporary South Africa: Challenges and opportunities in a big data context. African Security Review. 28(1), 1-19.
  13. Senekal, B. and Kotzé, E. (2019). Oopbronintelligensie (OSINT) vir veiligheidsdoeleindes: Die ontwikkeling van ’n dataontledingspyplyn om relevante WhatsAppboodskappe te ontleed. Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie, 38(1), 1-10.
  14. Kotzé, E. and Senekal, B. (2018). Employing sentiment analysis for gauging perceptions of minorities in multicultural societies: An analysis of Twitter feeds of the Afrikaner community of Orania in South Africa. The Journal of Transdisciplinary Research in Southern Africa, 14(1), a564.
  15. Senekal, B. and Kotzé, E. (2018). Die ontwikkeling van `n koste-effektiewe en byderwetse multimedia digitale argief by EPOG in Orania. LitNet Akademies (Geesteswetenskappe), 15(3), 239-275.
  16. Van der Linde, I.D. and Kotzé, E. (2018). Design and Evaluation of an Artefact for Real-Time Twitter Sentiment Analysis: Lessons Learnt. Journal of New Generation Sciences. 16(1), 130-145.
  17. Senekal, B. and Kotzé, E. (2017). Die statistiese eienskappe van geskrewe Afrikaans as ’n komplekse netwerk, LitNet Akademies (Geesteswetenskappe), 14(1), 27-59.
  18. Kotzé, E. (2016). `n Oorsig van grootdata-en datawetenskaponderrig aan Suid-Afrikaanse universiteite, Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie, 35(1), a1387.http:/
  19. Mudzana, T. and Kotzé, E. (2015). Some Determinants of Business Intelligence Adoption using the Technology-Organisation-Environment Framework: A Developing Country Perspective. Journal of New Generation Sciences, 13(1), 107-119.
  20. Kotze, J.E. and McDonald, T (2012). A Longitudinal Patient Record for Patients Receiving Antiretroviral Treatment. Journal of New Generation Sciences, 10(1), 49-62.
  21. Kotze, J.E. and McDonald, T (2010). An information system to manage rollout of the antiretroviral treatment programme in the Free State. Curationis, 33(2), 60-68.
  22. Ingle, S. M., May, M., Uebel, K., Timmerman, V.,Kotze, E., Bachmann, M., Sterne, J. A., Egger, M., Fairrall, L.; for the International epidemiologic Databases to Evaluate AIDS Southern Africa (IeDEA-SA). (2010). Differences in access and patient outcomes across antiretroviral treatment clinics in the Free State province: A prospective cohort study. South African Medical Journal, 100(10), 675-681.
  23. Ingle, S. M., May, M., Uebel, K., Timmerman, V., Kotze, E., Bachmann, M., Sterne, J. A., Egger, M., Fairrall, L.; for IeDEA-Southern Africa. (2010). Outcomes in patients waiting for antiretroviral treatment in the Free State Province, South Africa: prospective linkage study. AIDS. 24(17), 2717-2725.

Peer-Reviewed Published Conference Contributions

  1. Aliyu, E.O., and Kotzé E. (2022). Stacked Language Models for Optimized Next Word Generation. Proceedings of the IST-Africa 2022 International Conference, pp. 1-12. Virtual Conference, IEEE. 16-20 May 2022.
  2. Dollman, G., Kotzé, E., Heckert, A., and Choiniere, J. (2021). Deep Learning of Drone Images for Soil Erosion Detection using Geological and Topographic Landcover Features. Proceedings of the 2021 Southern African Conference for Artificial Intelligence Research (SACAIR 2021), pp. 488-503. Balito, South Africa. 6-10 December 2021
  3. Kotzé, E., Senekal, B., and Daelemans, W. (2020). Exploring the Classification of Security Events using Sparse and Dense Representation of Text. Proceedings of the 2020 International SAUPEC/RobMech/PRASA Conference (PRASA 2020), pp. 143-148. Cape Town, South Africa, IEEE. 29-31 January 2020.
  4. Vidmar, R., Kotzé, E., Van Der Merwe, T.M., and Mentz, J.C. (2020). Proposed Theory of e-Government for South Africa. Proceedings of the 11th International Development Informatics Association Conference (IDIA2020), pp. 26-41. Macau, China, 25-27 March 2020.
  5. Vidmar, R., Kotzé, E., Van der Merwe, T.M., and Mentz, J.C. (2019). An Approach to Design and Evaluation of e-Government Theory for South Africa. Proceedings of the 12th Annual Pre-ICIS SIG GlobDev Workshop. Munich, Germany. 15-18 December 2019.
  6. Oriola, O. and Kotzé, E. (2019). Automatic Detection of Abusive South African Tweets using a Semi-Supervised Learning Approach. Proceedings of the South African Forum for Artificial Intelligence Research (FAIR 2019), pp. 90-102. Cape Town, South Africa. 3-6 December 2019.
  7. Oriola, O. and Kotzé, E. (2019). Automatic Detection of Toxic South African Tweets using Support Vector Machines with N-Gram Features. Proceedings of the 6th International Conference on Soft Computing & Machine Intelligence (ISCMI 2019), pp. 126-130. Johannesburg, South Africa, IEEE. 19-20 November 2019.
  8. Phoobane, P. and Kotzé, E. (2018). The Role of Quality of Information and Intention to Use in Mobile Business Intelligence. Proceedings of the International Conference on Advanced in Big Data, Computing and Data Communication Systems (icABCD 2018), pp 68-73. Durban, South Africa, IEEE. 6-7 August 2018. h
  9. Botma, E. and Kotzé, E. (2016).  Feasibility of a low-cost computing cluster in comparison to a high-performance computing cluster: A developing country perspective. CONF-IRM 2016 Proceedings, paper 44, pp 1-14. Cape Town, South Africa, 18-20 May 2016.
  10. Kotzé, E. and Goede, R. (2016). Preparing Postgraduate Students for Industry without neglecting scholarly development: using Project-Based Learning and Design Science Research to develop a software artefact. Proceedings of the 7th Annual International Conference on Computer Science Education: Innovation & Technology (CSEIT 2016). pp 57-64. Singapore, 10-11 October 2016.
  11. Pretorius, A., Kotzé, E., and Kruger E. (2016). Tweeting and Environmental Awareness: Social Media`s Contribution. Proceedings of the Centenary Conference of the Society of South African Geographers. pp 158-169. Stellenbosch, South Africa, 25-28 September 2016
  12. Muriithi, G.M. and Kotzé J.E. (2013). A conceptual framework for delivering cost effective business intelligence solutions as a service. Proceedings of the South African Institute for Computer Scientists and Information Technologist Conference (SAICSIT 2013), pp 96-100. East London, South Africa. ACM
  13. Muriithi, G.M. and Kotzé J.E. (2012). Cloud Computing in Higher Education: Implications for South African Public Universities and FET Colleges. Proceedings of the 14th Annual Conference on WWW Applications, pp 4-24. Durban, South Africa, 7-9 November 2012.
  14. May, M., Bachmann, M., Timmerman, V., Uebel, K., Kotze, E., Fairall, L. (2011). Effect of timing of start of ART during tuberculosis therapy in HIV/TB co-infected individuals in the Free State, South Africa. 15th International Workshop on HIV Observational Databases. Prague, Czech Republic, 24-26 March 2011
  15. Kotze, J.E. and McDonald T. (2011). Effectiveness of a Business Intelligence Solution to Manage the Antiretroviral Theraphy Programme. Proceedings of the 4th International Joint Conference on Biomedical Engineering Systems and Technologies (HEALTHINF 2011), pp 543-546. Rome, Italy, 26-29 January 2011.
  16. Kotze, J.E. and McDonald T. (2010). Using Record Linkage to Conform the Patient Dimension of an Antiretroviral Therapy Data Warehouse. Proceedings of the IASTED International Conference on Health Informatics (AfricaHI 2010), 687(1), pp 187-194. Gaborone, Botswana, 6-8 September 2010.
  17. May, M., Ingle, S., Timmerman, V., Kotze, J.E., Uebel, K., Bachmann, M., Sterne, J., Egger, M., Fairral, L. (2009). Determinants of waiting times for ART in the Free State Province, South Africa: prospective cohort study with retrospective database linkage. Proceedings of the 5th IAS Conference on HIV Pathogenesis, Treatment and Prevention. Cape Town, South Africa, 19-22 July 2009.
  18. Kotze, J.E. and McDonald T. (2007). Challenges in developing a data warehouse to manage the rollout of antiretroviral therapy in a developing country. Proceedings of the 18th International Conference of the Information Resources Management Association (IRMA), pp 406-410. Vancouver, Canada, 19-23 May 2007.
Technical Report Contributions
  1. De Smedt, T., Jaki, S., Kotzé, E., Saoud, L., Gwózdz, M., De Pauw, G., Walter Daelemans, W. (2018). Multilingual Cross-domain Perspectives on Online Hate Speech. Computational Linguistics & Psycholinguistics Technical Report Series, CTRS-008, 10 September 2018.

Publications (Short List)


  • Currently working towards developing technologies for extraction and analysis of sentiment from microblogging websites, using a combination of natural language processing (NLP), text mining and machine learning techniques.

Area(s) of Interest

  • Algorithms and natural language processing (NLP) techniques to process large sets of unstructured data (for example Sentiment Analysis)

Area(s) of Expertise

  • Text Classification, Feature Engineering, Sentiment Analysis
  • Machine Learning, Deep Learning
  • Data Warehousing & Business Intelligence

Courses Presented

  • CSID6853 (Data Warehousing)
  • CSID6823 (Business Intelligence)
  • CSIA7915 (Natural Language Processing)

Community Service

Service Learning


Elfrieda van den Berg (Marketing Manager)
T: +27 51 401 2531

Dilahlwane Mohono (Faculty Officer)
T: +27 58 718 5284

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