Text mining on qualitative ALSWH data
Synopsis
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.