Finding the Canary in Text Mining: Analysis of the Use and Users of MONK Text Mining Research Software
Bookmark or cite this item:
http://hdl.handle.net/2142/29943
Files in this item
| File | Description | Format |
|---|---|---|
DHCS_poster.pdf
(2MB)
|
Poster image | |
|
DHCS_handout.pdf
(47KB)
|
Poster abstract and handout |
| Title: | Finding the Canary in Text Mining: Analysis of the Use and Users of MONK Text Mining Research Software |
| Author(s): | Green, Harriett E. |
| Subject(s): |
digital humanities
text mining usability study |
| Abstract: | MONK is a text mining research software tool hosted by the University of Illinois Library that enables humanities scholars to mine data from digitized texts in select literary databases and archives. This poster presents initial analysis on the use of MONK by researchers using web usage data tracked on MONK during its first nine months as a publicly released tool in the year 2010. |
| Issue Date: | 2010-11-21 |
| Citation Info: | Chicago Colloquium for Digital Humanities and Computer Science, November 21-22, 2010, Evanston, IL. |
| Genre: | Conference Poster |
| Type: | Text Image |
| Language: | English |
| URI: | http://hdl.handle.net/2142/29943 |
| Publication Status: | published or submitted for publication |
| Peer Reviewed: | is peer reviewed |
| Date Available in IDEALS: | 2012-02-20 |
Items in IDEALS are protected by copyright, with all rights reserved, unless otherwise indicated.
This item appears in the following Collection(s)
-
University Library Faculty and Staff Research
Research and scholarship of the Library faculty and staff
Item Statistics
- Total Downloads: 172
- Downloads this Month: 1
- Downloads Today: 0
