Detecting the Semantic Shift of Values in Cultural Heritage Document Collections (short paper)

The paper presents the main features and goals of the EU H2020 VAST (Values Across Space and Time) project about the transformation of moral values across space and time, with particular emphasis on the core European Values that represent the essential pillars of the EU society. In particular, we discuss the preliminary results obtained by analysing a selected collection of historical documents by employing machine learning techniques. The aim is to classify document annotations and their relationships with values to discover possible shifts in the value meaning when different temporal contexts are considered.