Excavating Archaeological Texts: Applying Digital Humanities to the Study of Archaeological Thought and Banal Nationalism

To date, the evolution of archaeological knowledge production and theory has been discussed analyzed using qualitative methods by reading vast amounts texts in search specific discourses or framings past. In this paper, we present text mining methodologies from digital humanities that can be applied to large corpora trace evaluate changing practices. Such a big data approach is imperative. Due rapid increase publications, research into intellectual history archaeology become complicated highly selective. The presented study were tested on corpus (4,811 totaling over 51 million words) different types Dutch-speaking part Belgium. tools successful identifying theoretical trends. Our also charting decrease quality due changed organizational circumstances (developer-led archaeology). Furthermore, could map banal nationalist