Prof Eduan Kotzé
Position
Associate Professor
Department
Computer Science and Informatics
Address
WWG 320
Computer Science and Informatics
IB 65
Telephone
051 4013707
Office
Mathematical Sciences Building 313
Information

Short CV

  • Qualifications
    • 1995 - B.Sc. (Computer Science, Applied Mathematics)
    • 1998 - B.Sc. (Hons) (Computer Information Systems)
    • 2000 - Certificate in Health Management - cum laude
    • 2003 - M.Sc. (Computer Information Systems) - cum laude
    • 2008 - Ph.D. (Computer Information Systems)
  • ORCID: https://orcid.org/0000-0002-5572-4319

Publications

Peer-Reviewed Books

  1. 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. https://doi.org/10.18820/9781928424376

Peer-Reviewed Chapters in Books

  1. 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. https://doi.org/10.1007/978-3-030-64823-7_9
  2. 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. http://doi.org/10.1007/978-3-319-69670-6_12
  3. 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. http://doi.org/10.1007/978-3-319-69670-6_9

Accredited Journal Publications

  1. 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. https://letterkunde.africa/issue/view/908
  2. 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. https://doi.org/10.1108/ICS-02-2020-0027
  3. 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:https://doi.org/10.4102/td.v16i1.871 
  4. 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. https://doi.org/10.18489/sacj.v32i2.847
  5. 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. https://doi.org/10.17159/sajs.2020/6557
  6. 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. https://doi.org/10.34190/EJISE.20.23.1.007
  7. 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. https://doi.org/10.1109/ACCESS.2020.2968173
  8. 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. https://www.tandfonline.com/doi/full/10.1080/10246029.2019.1644357
  9. 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. http://www.satnt.ac.za/index/satnt/article/view/717
  10. 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. http://doi.org/10.4102/td.v14i1.564
  11. 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. https://www.litnet.co.za/die-ontwikkeling-van-n-koste-effektiewe-en-byderwetse-multimedia-digitale-argief-by-epog-in-orania/
  12. 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. https://journals.co.za/content/journal/10520/EJC-151bd3ce3e
  13. Senekal, B. and Kotzé, E. (2017). Die statistiese eienskappe van geskrewe Afrikaans as ’n komplekse netwerk, LitNet Akademies (Geesteswetenskappe), 14(1), 27-59. http://www.litnet.co.za/statistical-properties-written-afrikaans-complex-network/
  14. Kotzé, E. (2016). `n Oorsig van grootdata-en datawetenskaponderrig aan Suid-Afrikaanse universiteite, Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie, 35(1), a1387.http:/satnt.ac.za/index.php/satnt/article/view/1387
  15. 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. http://ir.cut.ac.za/handle/11462/762
  16. 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. https://journals.co.za/content/newgen/10/1/EJC126835
  17. 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. http://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S2223-62792010000200007
  18. 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.
  19. 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 2010 November; 24(17), 2717-2725.

Peer-Reviewed Published Conference Contributions (International)

  1. 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. https://ieeexplore.ieee.org/document/9041092
  2. 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. https://collections.unu.edu/view/UNU:7689
  3. 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. https://aisel.aisnet.org/globdev2019/2/
  4. 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. http://ceur-ws.org/Vol-2540/FAIR2019_paper_19.pdf
  5. 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. https://ieeexplore.ieee.org/document/9004298
  6. 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. https://doi.org/10.1109/ICABCD.2018.8465453
  7. 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. http://aisel.aisnet.org/confirm2016/44/
  8. 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.
  9. 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
  10. 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.
  11. 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.
  12. 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.
  13. 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.

Peer-Reviewed Published Conference Contributions (National)

  1. 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.
  2. 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
  3. 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.

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. https://arxiv.org/abs/1809.03944

Publications (Short List)


Research

  • 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




BLOEMFONTEIN CAMPUS FACULTY CONTACT

Elfrieda van den Berg (Marketing Manager)
T: +27 51 401 2531
E:vdberge@ufs.ac.za

QWAQWA CAMPUS FACULTY CONTACT

Dilahlwane Mohono (Faculty Officer)
T: +27 58 718 5284
E:naturalscienceqq@ufs.ac.za

Home new

We use cookies to make interactions with our websites and services easy and meaningful, to better understand how they are used and to tailor advertising. You can read more and make your cookie choices here. By continuing to use this site you are giving us your consent to do this.

Accept