Extractive text summarisation of Privacy Policy documents using machine learning approaches

arXiv:2404.08686v1 Announce Type: cross
Abstract: This work demonstrates two Privacy Policy (PP) summarisation models based on two different clustering algorithms: K-means clustering and Pre-determined Centroid (PDC) clustering. K-means is decided to be used for the first model after an extensive evaluation of ten commonly used clustering algorithms. The summariser model based on the PDC-clustering algorithm summarises PP documents by segregating individual sentences by Euclidean distance from each sentence to the pre-defined cluster centres. The cluster centres are defined according to …

abstract algorithms arxiv clustering cs.cl cs.lg documents evaluation k-means machine machine learning policy privacy privacy policy text type work