PeRSSonal'S Core Functionality Evaluation: Enhancing Text Labeling Through Personalized Summaries

In this manuscript we present the summarization and categorization subsystems of a complete mechanism
that begins with web-page fetching and concludes with representation of the collected data to the
end users through a personalized portal. The system intends to collect articles from major news portals
and, following an algorithmic procedure, to create a more user friendly and personalized “view”
of the articles. Before presenting the information back to the end user, the core of our mechanism automatically
categorizes data and then extracts personalized summaries. We focalize to the core of the
mechanism and more specifically, we present the algorithms used for the summarization and the categorization
of texts. The algorithms are not utilized only for producing isolated data, targeted to a specific
subsystem, but a combination of the algorithms, which achieves co-operation of the categorization and
summarization mechanisms, is introduced in order to enhance text labeling through the personalized
summaries that are constructed.