The method by which users have traditionally exploited digital resources such as Early English Books Online (EEBO) has been via keyword search. However, researchers are increasingly finding new ways to exploit entire corpora of digitized resources, treating the resource as a single entity to be analysed, rather than searching or sifting through the resource for individual parts. This article looks at the work of one research team at the University of Lancaster, exploring how they are using a corpus of seventeenth-century newsbooks to leverage open new areas of research. Using tools borrowed from linguistics and geography, the researchers can analyse the place names mentioned in the newsbooks and see which linguistic concepts (e.g. war, mone...
The Linguistic DNA project investigates concepts in early modern England and adopts a bottom-up appr...
© 2016 by John Wiley & Sons, Inc. All rights reserved. The analysis of texts has been central to h...
With advances in computational methods and the proliferation of data sources, text and data mining o...
The method by which users have traditionally exploited digital resources such as Early English Books...
In the Trading Consequences project, historians, computational linguists, and computer scientists co...
Analyzing communication processes on social media platforms requires new methods, e.g. text mining, ...
The use of computational approaches in history is not new (Boonstra et al 2004). However, until fair...
These are the slides from the 2021 Workshop ‘Historical Newspaper Content Mining: findings from the ...
Researchers now have access to a deluge of data in the form of digitized historical records. One ex...
This chapter reports on research resulting from academics from linguistics, history and geography wo...
The archaeology domain produces large amounts of texts, too much to effectively read or manually sea...
In order to better support the text mining of historical texts, we propose a combination of compleme...
Although it began in the digital humanities, text mining is becoming increasingly common in other di...
Humanities researchers are producing large volumes and heterogeneous varieties of language and liter...
Paper on mapping texts and combining text-mining and geo-visualization to unlock the research potent...
The Linguistic DNA project investigates concepts in early modern England and adopts a bottom-up appr...
© 2016 by John Wiley & Sons, Inc. All rights reserved. The analysis of texts has been central to h...
With advances in computational methods and the proliferation of data sources, text and data mining o...
The method by which users have traditionally exploited digital resources such as Early English Books...
In the Trading Consequences project, historians, computational linguists, and computer scientists co...
Analyzing communication processes on social media platforms requires new methods, e.g. text mining, ...
The use of computational approaches in history is not new (Boonstra et al 2004). However, until fair...
These are the slides from the 2021 Workshop ‘Historical Newspaper Content Mining: findings from the ...
Researchers now have access to a deluge of data in the form of digitized historical records. One ex...
This chapter reports on research resulting from academics from linguistics, history and geography wo...
The archaeology domain produces large amounts of texts, too much to effectively read or manually sea...
In order to better support the text mining of historical texts, we propose a combination of compleme...
Although it began in the digital humanities, text mining is becoming increasingly common in other di...
Humanities researchers are producing large volumes and heterogeneous varieties of language and liter...
Paper on mapping texts and combining text-mining and geo-visualization to unlock the research potent...
The Linguistic DNA project investigates concepts in early modern England and adopts a bottom-up appr...
© 2016 by John Wiley & Sons, Inc. All rights reserved. The analysis of texts has been central to h...
With advances in computational methods and the proliferation of data sources, text and data mining o...