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Text mining on qualitative ALSWH data


Qualitative data collected through ALSWH surveys have been found to contain valuable information but it is difficult to access these data quickly and easily. This project will investigate automated text-mining, and specifically, the use of statistical learning techniques to better utilise ALSWH qualitative data. We will explore different types of statistical learning algorithms and assess them for both accuracy and automation within the context of the longitudinal survey data. We aim to select a number of methods that produce the best results in terms of accuracy and automation when it comes to interpreting the qualitative longitudinal data.