Imagery Lenses for Visualizing Text Corpora

JISC: Imagery Lens for Visualizing Corpora

Under an international Digging Into Data Challenge program, our team of computer scientists, a linguist, and poet/scholars from the University of Oxford and the University of Utah have been working to create a richer understanding of how poems work through computation and visualization.  This understanding relies on computational tools embracing the qualitative and quantitative components that explicitly engage human readers, their perspectives and research needs, specific to the humanities and in particular to poetry.

This new tool, PoemViewer ( approaches poems as complex dynamic systems, and represents a significant step toward providing literary scholars the freedom to explore poetry, and other texts of their choosing, in ways traditional scholarship and other text analysis software cannot. In addition to displaying familiar poetic features, such as texts, word frequencies, grammatic classes, and sentiment, Poem Viewer provides a unique capability for visualizing poetic sound, including various sonic relationships and changes as they occur in a poem over time.

Prof Min Chen (Oxford)
Prof Katherine Coles (Utah)

Dr Martin Wynne (Oxford)
Prof Anne E. Trefethen (Oxford)
Professor Chris Johnson (Utah)

Poem Viewer provides poetry scholars with a “magic lens” for observing many different attributes of a poem along its textual structure, and for comparing a poem with other poems or texts in such a multi-dimensional attribute space. In the sciences, this is often referred to as multivariate data analysis , while in poetry, such an observational and comparative study is commonly conducted in closing reading , typically with little help from any digital technologies.

Poem Viewer enables scholars to gain access to an advanced web-based visualization tool designed specially for supporting close reading (i.e., as computer scientists would refer it to as “multivariate data analysis in poetry”). It provides the flexibility for depicting up to 26 attributes with a rule-based user interface for minimizing effort required for specifying complex visual encoding of the attributes. Its capability for identifying and visualizing sonic elements automatically has been found particularly useful for revealing the development of sonic relationships in a poem across time.

The latest version of Poem Viewer features automated translation of a poem to its phonetic representation, powered by Oxford Dictionaries API . This allows readers to select and upload any poems they wish for visualization.  This represents a significant move forward for literary scholars, making the tool useful not only for lower-level pedagogical applications but for the pursuit of serious research.

In fact, our work has already led the poets on the team to rethink poems and how they work on a number of different levels.  Specifically, the need to consider poems as comprising quantifiable elements subject to visualization has led us to think of the poem as a fluid (or fluids) moving via its linguistic elements, devices and figures through a self-defined space .  At this point, the two poetry scholars on our team are working on an MLA presentation that will focus entirely on the literary insights gained from their engagement with the project and with PoemViewer .  Katharine Coles is pursuing ideas on sound and image in time, and Julie Gonnering Lein is working in a focused way on sound and time.

This work was highlighted in JISC Inform , issue 37, page 5, entitling “The diversity of data” (

To use the domain software Poem Viewer , please visit


  • Dr Alfie Abdul-Rahman, University of Oxford
  • Dr Julie Lein, University of Utah

Other Collaboration Partners and Colleagues

  • Eamonn Maguire, University of Oxford
  • Dr Miriah Meyer, University of Utah

Publications and Presentations

  • A. Abdul-Rahman, J. Lein, K. Coles, E. Maguire, M. Meyer, M. Wynne, C. R. Johnson, A. Trefethen, and M. Chen. Rule-based visual mappings - With a case study on poetry visualization . Computer Graphics Forum , 32(3): 381 - 390, 2013.
  • A. Abdul-Rahman, K. Coles, J. Lein, and M. Wynne. Freedom and flow: A new approach to visualizing poetry . Presented at Digital Humanities 2013 , Lincoln, Nebraska, July 2013.
  • K. Coles and J. Lein. Turbulence and Temporality: (Re)visualizing Poetic Time . To be presented at Modern Language Association 2014 , Chicago, Illinois, January 2014.
  • K. Coles and J. Lein. Solitary Mind, Collaborative Mind: Close Reading and Interdisciplinary Research . Presented at Digital Humanities 2013 , Lincoln, Nebraska, July 2013.
  • K. Coles and J. Lein. Close Reading in the Machine . Presented at Great Writing: The International Creative Writing Conference, London, UK, June 2013.
  • K. Coles and J. Lein. Poets in the Lab. Presented at the University of Oxford, Oxford, England, April 2013.
  • K. Coles and J. Lein. Finding and Figuring Flow: Notes Toward Multidimensional Poetry Visualization. Presented at iConference 2013 , Fort Worth, Texas, February 2013.
  • K. Coles and J. Lein. A World in a Grain of Sand: Uncertainty and Poetry Corpora Visualization. Presented at Big Data and Uncertainty in the Humanities: THATCamp Kansas 2012 , Lawrence, Kansas, September 2012.
  • J. Lein. Seeing the Sonic: Aesthetics, Poetry, and Data Visualization . Presented at Aesthetics Re-Loaded . Aarhus, Denmark, December 2012.
  • Poem Viewer :
  • “The diversity of data”, JISC Inform , issue 37, page 5,