http:\/\/cofk.history.ox.ac.uk\/wp-content\/uploads\/2012\/06\/roe_edited.mp3<\/a><\/audio>\nDr Glenn Roe<\/strong> (Mellon Fellow in Digital Humanities at Oxford\u2019s OERC<\/a>) describes\u00a0the latest digital approaches to long-form historical texts. Roe starts out by observing the irony that the recent efflorescence of big data, culturomics, network analysis, and other quantitative approaches to culture \u2013 focusing in many cases on the macro interpretation of metadata over content \u2013 has authorized and promoted a convention of \u2018not reading\u2019 within the digital humanities, in which historical texts themselves can be marginalized or effaced altogether by the superabundance of information.\u00a0As a supplement to this \u2018distant\u2019 reading, he goes on to demonstrate the potential of the latest machine-learning technologies to render significant volumes of transcription meaningful via text mining and the automated creation of patterns, frequencies, statistical models, and other forms of \u2018mediated\u2019 or \u2018directed\u2019 reading. He then demonstrates each kind of approach within a rich series of examples drawn from his work with the ARTFL Encyclop\u00e9die Project<\/a> and the Electronic Enlightenment<\/a> corpus, before concluding his analysis by presenting \u2013 with caveats \u2013 some preliminary radial visualizations of textual influence generated using the D3 JavaScript library<\/a>.<\/p>\n