dr. steven claeyssens | @sclaeyssens - liber 2016 …...fp 2 bcretart : fulchr die / bp xo.batr...

Text and Data Mining: Explaining the Relevance

dr. Steven Claeyssens | @sclaeyssens

Text and data

= result of

more than 200 years of collecting

over 30 years of digitisation

almost 10 years of collecting born-digital

= machine readable, mostly textual

= structured or semi-structured

= legally as open as possible

www.delpher.nl www.dbnl.org

http://ngramviewer.kbresearch.nl

https://pimhuijnen.com/2015/12/04/from-keyword-searching-to-concept-mining/

Text and Data Mining

= using text corpora in bulk as complex (‘biggish’, structured and semi-structured) data

= using computational techniques (IR, NLP, ML, NER, vector space models, …) to derive information

by computer scientists and (digital) humanities scholars

e.g. historians: track actors (networks), concepts (semantic fields) and ideas over space and time

=> identifying patterns and needles (longue durée and microhistory)

= new ways to help us understand culture, society, humanity

Any questions?

www.kb.nl/dataserviceswww.kb.nl/dh

steven.claeyssens@kb.nl@sclaeyssens