Trading Consequences: A Case Study of Combining Text Mining & Visualisation to Facilitate Document Exploration

Uta Hinrichs, Beatrice Alex, Jim Clifford, Aaron Quigley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Trading Consequences is an interdisciplinary research project between historians, computational linguists and visualization specialists. We use text mining and visualisations to explore the growth of the global commodity trade in the nineteenth century. Feedback from a group of environmental historians during a workshop provided essential information to adapt advanced text mining and visualisation techniques to historical research. Expert feedback is an essential tool for effective interdisciplinary research in the digital humanities.
Original languageEnglish
Title of host publicationProceedings of Digital Humanities 2014 (DH 2014)
Number of pages7
Publication statusPublished - 2014

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