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Arts and Humanities Commons

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English Language and Literature

University of Nebraska - Lincoln

Series

Digital humanities

Articles 1 - 3 of 3

Full-Text Articles in Arts and Humanities

The George Eliot Archive: Current Reception & Comparison Of Dh Projects 2020, Mackenzie Burch, Beverley Rilett Apr 2020

The George Eliot Archive: Current Reception & Comparison Of Dh Projects 2020, Mackenzie Burch, Beverley Rilett

UCARE Research Products

• Current legal gray area for digital collections: An exception for public libraries and archives as educational tools exists for copyright infringement, but digital archives are not currently protected by this exception unless they can prove that the content is transformative.

• Benefits of archiving scholarship together: Grouping like scholarship together regardless of genre or authorship allows for unique cross-purpose or interdisciplinary connections to be drawn from the collection.

• Humanists of today must devote time and resources to the educational tools and platforms of tomorrow: Without the successful building and completion of means to ensure digital archives can be …


Significant Themes In 19th-Century Literature, Matthew L. Jockers, David Mimno Aug 2012

Significant Themes In 19th-Century Literature, Matthew L. Jockers, David Mimno

Department of English: Faculty Publications

External factors such as author gender, author nationality, and date of publication affect both the choice of literary themes in novels and the expression of those themes, but the extent of this association is difficult to quantify. In this work, we apply statistical methods to identify and extract hundreds of "topics" from a corpus of 3,346 works of 19th-century British, Irish, and American fiction. We use these topics as a measurable, data-driven proxy for literary themes. External factors may predict fluctuations in the use of themes and the individual word choices within themes. We use topics to measure the evidence …


Using Textual Features To Predict Popular Content On Digg, Paul H. Miller Apr 2011

Using Textual Features To Predict Popular Content On Digg, Paul H. Miller

Department of English: Dissertations, Theses, and Student Research

Over the past few years, collaborative rating sites, such as Netflix, Digg and Stumble, have become increasingly prevalent sites for users to find trending content. I used various data mining techniques to study Digg, a social news site, to examine the influence of content on popularity. What influence does content have on popularity, and what influence does content have on users’ decisions? Overwhelmingly, prior studies have consistently shown that predicting popularity based on content is difficult and maybe even inherently impossible. The same submission can have multiple outcomes and content neither determines popularity, nor individual user decisions. My results show …