“Legal Literacies for Text Data Mining” outlines for digital humanities researchers and professionals some of the core skills and understandings needed to navigate law, policy, ethics, and risk in digital humanities text and data mining (TDM) projects, with reference to common DH use cases. We also reflect on the outcome of our NEH-funded, four-day Institute for Advanced Topics on this theme (https://buildinglltdm.org/) hosted online by UC Berkeley in June of 2020
Purpose This study aims to explore knowledge structure and research trends in the domain of digital ...
Text and data mining (TDM) research involves the process of collecting vast amounts of digitized mat...
Text and Data Mining (TDM) can generally be defined as the “process of deriving high-quality informa...
Legal Literacies for Text Data Mining - Cross-Border (“LLTDM-X”) is a National Endowment for the Hum...
Legal Literacies for Text Data Mining - Cross-Border (“LLTDM-X”) is a National Endowment for the Hum...
UC Berkeley Library secured a grant from the National Endowment for the Humanities to support an&nbs...
A wealth of digital texts and the proliferation of automated research methodologies enable researche...
The ideas of textual or data mining (TDM) and subsequent analysis go back hundreds if not thousands ...
Text data mining (TDM) is the computational and statistical analysis of large corpora of texts. Ofte...
Text and Data Mining (TDM) can generally be defined as the “process of deriving high-quality informa...
<p>This document represents the first iteration of a series of practitioner guidelines for the incre...
Scholars increasingly use text and data mining (TDM) methods to discover trends and relationships wi...
LIBER (Association of European Research Libraries) Award for Library Innovation 2014 by Conference P...
The ideas of textual or data mining (TDM) and subsequent analysis go back hundreds if not thousands ...
Presentation held for the Centre for Development and Environment (CDE), University of Bern in Septem...
Purpose This study aims to explore knowledge structure and research trends in the domain of digital ...
Text and data mining (TDM) research involves the process of collecting vast amounts of digitized mat...
Text and Data Mining (TDM) can generally be defined as the “process of deriving high-quality informa...
Legal Literacies for Text Data Mining - Cross-Border (“LLTDM-X”) is a National Endowment for the Hum...
Legal Literacies for Text Data Mining - Cross-Border (“LLTDM-X”) is a National Endowment for the Hum...
UC Berkeley Library secured a grant from the National Endowment for the Humanities to support an&nbs...
A wealth of digital texts and the proliferation of automated research methodologies enable researche...
The ideas of textual or data mining (TDM) and subsequent analysis go back hundreds if not thousands ...
Text data mining (TDM) is the computational and statistical analysis of large corpora of texts. Ofte...
Text and Data Mining (TDM) can generally be defined as the “process of deriving high-quality informa...
<p>This document represents the first iteration of a series of practitioner guidelines for the incre...
Scholars increasingly use text and data mining (TDM) methods to discover trends and relationships wi...
LIBER (Association of European Research Libraries) Award for Library Innovation 2014 by Conference P...
The ideas of textual or data mining (TDM) and subsequent analysis go back hundreds if not thousands ...
Presentation held for the Centre for Development and Environment (CDE), University of Bern in Septem...
Purpose This study aims to explore knowledge structure and research trends in the domain of digital ...
Text and data mining (TDM) research involves the process of collecting vast amounts of digitized mat...
Text and Data Mining (TDM) can generally be defined as the “process of deriving high-quality informa...
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