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Coverage for grant HD-228732-15

HD-228732-15
Easing Entry and Improving Access to Computer-Assisted Text Analysis for the Humanities
Mark LeBlanc, Wheaton College

Grant details: https://securegrants.neh.gov/publicquery/main.aspx?f=1&gn=HD-228732-15

Breaking down the bard Lexomics project tackles question of collaboration in Shakespeare’s ‘Henry VIII,’ ‘Two Noble Kinsmen’ (Media Coverage)
Author(s): Communications Department
Publication: Wheaton College News and Events
Date: 12/11/2014
Abstract: Ann Marie Brasacchio ’16 and Elizabeth Peterson ’15, under the guidance of Professor of English Michael Drout, have been working to unravel that mystery using Wheaton’s Lexomics program to analyze how words and phrases are used in these plays.
Link: http://wheatoncollege.edu/news/2014/12/11/breaking-down-the-bard/?utm_source=WheatonWeekDec11&utm_medium=email&utm_content=bard&utm_campaign=WheatonWeek

Developing scholarly tools Wheaton research team wins grant from the NEH (Media Coverage)
Author(s): Communications Department
Publication: Wheaton College (News and Events)
Date: 4/16/2015
Abstract: A Wheaton College-based research team plans to make computer text analysis more accessible to humanities scholars and students with a grant from the National Endowment for the Humanities (NEH).
Link: http://wheatoncollege.edu/news/2015/04/16/developing-scholarly-tools/?utm_source=20150416&utm_medium=email&utm_content=lexos&utm_campaign=WheatonWeek

Resource: How to Create and Cluster Topic Files in Lexos (Review)
Author(s): Editors (Digital Humanties Now)
Publication: Digital Humanities Now
Date: 9/10/2015
Abstract: This post is a follow-up to last year’s How to Create Topic Clouds with Lexos, where I showed how Lexos can be used to visualise topic models produced by Mallet. From time to time, colleagues have wondered whether it would be possible to use Lexos to perform cluster analysis on the topics Mallet produces. The motivation for doing this is simple enough; topics are often very similar, and it would be useful to have some statistical measure of this similarity to help us decide where groups of topics really should be interpreted under some meta-class.
Link: http://digitalhumanitiesnow.org/2015/09/resource-how-to-create-and-cluster-topic-files-in-lexos/

CSUN Faculty Member Awarded Grant to Develop Literature Analysis Software (Media Coverage)
Author(s): Hansook Oh
Publication: CSUN Today
Date: 8/19/2015
Abstract: California State University, Northridge English professor Scott Kleinman is writing a tale of literature and computer science. Awarded a $60,000 grant from the National Endowment for the Humanities, Kleinman is working to further develop Lexos, a software tool that aids in the analysis and interpretation of literature. Lexos makes computational text analysis more easily accessible to scholars and students in the humanities, who may not have the time or resources to learn sophisticated computerized coding techniques.
Link: http://csunshinetoday.csun.edu/education/csun-faculty-member-awarded-grant-to-develop-literature-analysis-software/

Developing Scholarly Tools (Review)
Author(s): Communications Department
Publication: Wheaton Quarterly
Date: 9/15/2015
Abstract: The NEH SUG grant will provide funding for the Lexomics team, which includes Wheaton professors Michael Drout and Mark LeBlanc as well as California State University Northridge professor Scott Kleinman, to continue its efforts over the next two summers. It marks the third grant the team has received from the NEH. The team also has received support from the Mellon Foundation and from the college’s endowed funds.
Link: http://wheatoncollege.edu/quarterly/2015/09/15/developing-scholarly-tools/

Computing and the Digital Humanities (Review)
Author(s): LeBlanc, M.D.
Publication: NCWIT Teaching Paper
Date: 5/17/2016
Abstract: This paper introduces three assignments—each with their own “starter kits” for students—for those with a love of the written (and digital) word. Programming on and with digitized texts introduces students to rich new areas of scholarship including stylometry (i.e., the statistical analysis of variations in literary style between one writer or genre and another), applied to, for example, authorship attribution.
Link: https://www.engage-csedu.org/find-resources/computing-and-digital-humanities


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