User-Driven Text Mining of Historical Text
B. Alex; C. Grover; E. Klein; C. Llewellyn; R. Tobin School of Informatics, University of Edinburgh, Edinburgh, UK
Abstract
This chapter presents a summary of work on text mining (TM) of historical documents for the discovery of 19th century trade in the British Empire as part of the Digging into Data (http://www.diggingintodata.org) project TRADING CONSEQUENCES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. ...
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