<p>This is a corpus of 55 reports in pdf published by the OECD Studies on Water between 2009 and 2021. This is the basis of the project funded by e-Science center and ODISSEI consotrium awarded to ESSB in EUR in 2022.</p>
<p>The codes produced are availalbe on Github at the following links -- with methodology, samlping and results listed there.</p>
<p>Structured Topc Modelling (STM) -- </p>
<p>GitHub link: https://github.com/disaster-capitalism/topic-modelling</p>
<p>Word frequencies of executive summaries vis a vis main texts -- </p>
<p>GitHub link: https://github.com/disaster-capitalism/topic-modelling</p>
<p>Named Entity Recognition and Semantic Label Mapping -- <a href="https://github.com/disaster-capitalism/named-entities" target="_blank">https://github.com/disaster-capitalism/named-entities</a> </p>
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<p>The data is licensed by OECD and can be obtained from OECD by request. The data description is to be found here -- https://www.oecd-ilibrary.org/environment/oecd-studies-on-water_22245081</p>
