"This research is proposing a new approach for the faith-based media institutions in the creation and production of content. The solution proposed by this research is a text mining content analysis tool that uses data mining techniques including Association, Clustering and Classification in the discovery of new content that is lying within the already existing text. These three combined with term frequency and inverse document frequency (TF-IDF) plus other machine learning techniques will be able to reveal different connections between different sets of data hence aiding the creation of new content for the media institution." (Abstract)

Thesis of Cardinal Foley Scholarship Fund (CFSF) beneficiary