User-driven Text Mining of Historical Text

Beatrice Alex; Claire Grover; Ewan Klein; Clare Llewellyn; Richard Tobin

doi:10.1016/B978-1-84334-749-1.00009-3

User-driven Text Mining of Historical Text

Beatrice Alex, Claire Grover, Ewan Klein, Clare Llewellyn, Richard Tobin

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract / Description of output

This chapter presents a summary of work on text mining (TM) of historical documents for the discovery of 19th century trade in the British Empire as part of the Digging into Data (http://www.diggingintodata.org) project TRADING CONSEQUENCES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.

Original language	English
Title of host publication	Working with Text
Subtitle of host publication	Tools, Techniques and Approaches for Text Mining
Editors	Emma Tonkin, Gregory Tourte
Publisher	Chandos Publishing
Pages	209-230
Number of pages	22
Edition	1st
ISBN (Electronic)	9781780634302
ISBN (Print)	9781843347491
DOIs	https://doi.org/10.1016/B978-1-84334-749-1.00009-3
Publication status	Published - 12 Jun 2016

Publication series

Name	Chandos Information Professional Series
Publisher	Chandos Publishing

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10.1016/B978-1-84334-749-1.00009-3

Bea Alex
- School of Literatures, Languages and Cultures - Chancellor's Fellow - Senior Lecturer
Person: Academic: Research Active

Cite this

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doi = "10.1016/B978-1-84334-749-1.00009-3",

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AU - Llewellyn, Clare

AU - Tobin, Richard

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AB - This chapter presents a summary of work on text mining (TM) of historical documents for the discovery of 19th century trade in the British Empire as part of the Digging into Data (http://www.diggingintodata.org) project TRADING CONSEQUENCES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.

U2 - 10.1016/B978-1-84334-749-1.00009-3

DO - 10.1016/B978-1-84334-749-1.00009-3

M3 - Chapter

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T3 - Chandos Information Professional Series

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EP - 230

BT - Working with Text

A2 - Tonkin, Emma

A2 - Tourte, Gregory

PB - Chandos Publishing

ER -

User-driven Text Mining of Historical Text

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Bea Alex

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