Textual Analysis and Data Mining: An Interpreting Research on Nursing

Every day there is a data explosion on the web. In 2013, 5 exabytes of content were created each day. Every hour internet networks carries a quantity of texts equivalent to twenty billion books. For idea Iit is a huge mass of information on the linguistic behavior of people and society that was unthinkable until a few years ago. It is an opportunity for valuable analysis for understanding social phenomena, also in nursing and health care sector.This poster shows the the steps of an idealy strategy for textual statistical analysis and the process of extracting useful information about health care, referring expecially nursing care from journal and web information. We show the potential of web tools of Text Mining applications (DTM, Wordle, Voyant Tools, Taltac 2.10, Treecloud and other web 2.0 app) analyzing text data and information extraction about sentiment, perception, scientific activites and visibility of nursing. This specific analysis is conduct analyzing "Repubblica", first newspaper in Italy (years of analisys: 2012-14) and one italian scientific nursing journal (years: 2012-14)