Text segmentation and coding for QDA

In my second master thesis I was trying to automate part of the process required for public policy design. The results were not very satisfactory in terms of the applicability in practice. I hope to someday return to the idea and utilize machine learning methods which became available since then (hm, deep learning maybe) + knowledge and experience gained during doctoral studies at CLEA and ECCO.

Veitas, V. Text Segmentation and Coding for Qualitative Data Analysis. Master Thesis. Katholieke Universiteit Leuven. 2009.



System thinking based municipal policy design

Here is the link to the full text of my self-published book / master thesis done at ISM University of Management and Economics, Vilnius.

Veitas, V. & Economic Research Centre. System thinking based municipal policy design for the improvement of local business environment: Šiauliai city case study. Economic Research Centre, 2007.