Using Text Mining to Evaluate the Integrative and Adaptive Elements of Water Resource Institutions for Songkhla Lake Basin, Thailand

Abstract

The study was based on the use of text mining to evaluate the integrative and adaptive elements of water resources for related and relevant institutions in the Songkhla Lake Basin, Thailand. The results were able to show some very interesting patterns like being able to determine the basic statistics of the sets of institutions under review including the degree of fragmentation and gaps, institutional priorities and their capacity to support the element of integrative and adaptive resource management. The major outcome of this work is its ability to prove that the quality of the legal operating documents for state natural resource governance can be quantitatively analysed using the tool and the application of appropriate equations to determine the inherent policy weaknesses, degree of actors vested interests as well as determine the measures of their suitability for enhancement of resources governance.