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.

 

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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.