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What are We Thinking?:
Using Faceted Classification and Tagging to
Enhance Subject Access to the Public Mind
Elise Dunham
...
Roper Center Services
Datasets
Question Text, Response Categories,
& Marginals
The Power of iPOLL
This day in history… Current events
Clinton’s visit to UConn=Women in Politics
MH17=Air Safety in Wake ...
The Power of iPOLL
Topics: FAMILY EQUALITY SEX GROUPS
Goals
Develop system for concept-based classification
of manageable content
Implement workflows for identifying
conceptual...
Benefits of Faceted Classification & Tagging
• Flexible & agile
• Indexer friendly
• End user friendly
• “Quick” startup
Iterative Project Steps
• Read & learn
– The Accidental Taxonomist, Heather Hedden
– Simmons GSLIS Taxonomy & Controlled
V...
Iterative Project Steps cont’d
• Develop controlled set of tags after analyzing:
– Current iPOLL Topics
– Topics at a Glan...
Study
Survey Samples
Variables
Power of iPOLL briefs
Primary source
Survey questions
Topics
Sample Description
Methodology...
Challenges
• Public opinion=inherently controversial
• Tensions between theoretical purity &
implementation
• Survey quest...
Ideas Moving Forward
• Tag-a-thon
• Outside review
• Formal user testing/analysis
• Linked data: be ready
Thank you!
Elise Dunham
elise.dunham@uconn.edu
@elisedunham
The Roper Center for Public Opinion Research
www.ropercenter.u...
Resources
GESIS, “Improving precision and recall in study retrieval: a concept for thesaurus-based syntactic
indexing,” IA...
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What Are We Thinking?: Using Faceted Classification and Tagging to Enhance Subject Access to the Public Mind

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Created by Elise Dunham of the Roper Center. “What Are We Thinking?: Using Faceted Classification and Tagging to Enhance Subject Access to the Public Mind.” Presented at the Metadata and Digital Objects Roundtable Meeting at the Society of American Archivists Annual Meeting, Washington, DC, USA, June 2014.

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What Are We Thinking?: Using Faceted Classification and Tagging to Enhance Subject Access to the Public Mind

  1. 1. What are We Thinking?: Using Faceted Classification and Tagging to Enhance Subject Access to the Public Mind Elise Dunham The Roper Center for Public Opinion Research University of Connecticut SAA MDOR Meeting August 13, 2014 @elisedunham #saa14 #mdor14
  2. 2. Roper Center Services
  3. 3. Datasets
  4. 4. Question Text, Response Categories, & Marginals
  5. 5. The Power of iPOLL This day in history… Current events Clinton’s visit to UConn=Women in Politics MH17=Air Safety in Wake of Disaster Nixon resignation, August 8, 1974 Civil Rights Act of 1964, July 2, 1964
  6. 6. The Power of iPOLL Topics: FAMILY EQUALITY SEX GROUPS
  7. 7. Goals Develop system for concept-based classification of manageable content Implement workflows for identifying conceptual links between content at point of acquisition/creation
  8. 8. Benefits of Faceted Classification & Tagging • Flexible & agile • Indexer friendly • End user friendly • “Quick” startup
  9. 9. Iterative Project Steps • Read & learn – The Accidental Taxonomist, Heather Hedden – Simmons GSLIS Taxonomy & Controlled Vocabulary course, Heather Hedden – ICPSR & NYT vocabularies – Concepts: FRSAR, LC FAST, Syntactic Indexing • Develop aboutness model to identify facets
  10. 10. Iterative Project Steps cont’d • Develop controlled set of tags after analyzing: – Current iPOLL Topics – Topics at a Glance – User searches • Develop backward- and forward- compatible infrastructure • Assign tags to content
  11. 11. Study Survey Samples Variables Power of iPOLL briefs Primary source Survey questions Topics Sample Description Methodology Types Secondary source Press releases
  12. 12. Challenges • Public opinion=inherently controversial • Tensions between theoretical purity & implementation • Survey questions are sometimes shorter than a tweet
  13. 13. Ideas Moving Forward • Tag-a-thon • Outside review • Formal user testing/analysis • Linked data: be ready
  14. 14. Thank you! Elise Dunham elise.dunham@uconn.edu @elisedunham The Roper Center for Public Opinion Research www.ropercenter.uconn.edu @ropercenter
  15. 15. Resources GESIS, “Improving precision and recall in study retrieval: a concept for thesaurus-based syntactic indexing,” IASSIST Conference, 2014, http://www.library.yorku.ca/binaries/iassist2014/2F/- 2014_2F_Siegers.pptx Heather Hedden, The Accidental Taxonomist, 2010. Alexis C. Madrigal, “How Netflix Reverse Engineered Hollywood,” 2014-01-02, http://www.theatlantic.com/technology/archive/2014/01/how-netflix-reverse-engineered- hollywood/282679/ OCLC Research, FAST, http://www.oclc.org/research/activities/fast.html?urlm=159754 Maja Zumer, Athena Salaba, and Marcia Lei Zeng, “Functional Requirements for Subject Authority Records (FRSAR): A Conceptual Model of Aboutness,” from Asian Digital Libraries: Looking Back 10 Years and Forging New Frontiers, Lecture Notes in Computer Science, Volume 4822, 2007, pp 487-492, http://link.springer.com/chapter/10.1007%2F978-3-540-77094-7_62#page-1

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