This chapter presents a summary of work on text mining (TM) of historical documents for the discovery of 19th century trade in the British Empire as part of the Digging into Data (http://www.diggingintodata.org) project TRADING CONSEQUENCES (http://tradingconsequences.blogs.edina.ac.uk). The project aimed to assist environmental historians in understanding the economic and environmental consequences of commodity trading during the 19th century. We applied TM to large quantities of historical text, converting unstructured textual information into structured data. The structured data was used to populate a relational database that is in turn the back end for querying and different types of online visualisations. We will discuss some of the challenges involved when processing digitised historical text which originally appeared in printed form.
|Title of host publication||Working with Text|
|Subtitle of host publication||Tools, Techniques and Approaches for Text Mining|
|Editors||Emma Tonkin, Gregory Tourte|
|Number of pages||22|
|Publication status||Published - 12 Jun 2016|
|Name|| Chandos Information Professional Series|