Computational Frame Analysis

Correlating
Resonance

Identifying frames of reference in contested policy spaces

A structured methodology for revealing the conceptual configurations that underpin conflicting positions within complex or wicked problems. Apply it to any corpus of policy texts to map what different stakeholders agree on, what divides them, and where common ground exists.

Start here→
The process

Three phases, each building on the last
Phase 3 clusters your data

1
Phase One
Typology Development

Start here if you have a corpus of documents and want to code them for analysis. This process uses open coding under your guidance.

  • Upload 5 random corpus documents
  • The application extracts candidate concepts through open coding
 
Saturation Check
  • Gradually refine your typology
  • Check new documents for new codes
  • Edit definitions, merge duplicates, add synonyms
5 × PDF or TXT Typology CSV
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2
Phase Two
Full Corpus Coding

Start here if you have a typology that you want to apply to a new corpus of documents. Documents are processed in configurable batches with automatic checkpoint exports.

  • Upload a complete typology CSV
  • Upload full corpus (folder or multi-select)
  • Review coding and options
  • Export complete DTM for review
Final typology Full corpus DTM CSV
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3
Phase Three
Cluster Analysis

Start here if you have a list of codes against document names. This Document Term Matrix is the basis of a range of analysis methods.

  • Set binarisation threshold interactively
  • Build and download sorted TTM
  • Run MCA cluster analysis
  • Compare sorted vs clustered TTM
  • Name and export frames
Reviewed DTM Frame analysis
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End-to-end workflow
Phase 1 · Step 1
Initial extraction
5 random documents coded in isolated sessions to generate candidate terms
→ Candidate term list
Phase 1 · Step 2
Researcher review
Merge duplicates, enrich definitions with synonyms, apply scaffolding structure
→ Revised typology CSV
Phase 1 · Step 3
Saturation testing
New document batches tested against fixed typology until no new concepts emerge
→ Saturated typology
Phase 2 · Code
Full corpus coding
Every document scored against every concept — one isolated API call per document
→ Raw DTM
Phase 3 · Step 1
Binarisation
Scores converted to binary important / not important using fixed threshold rules
→ Binary DTM
Phase 3 · Step 2
Cluster analysis
TTM construction and MCA reveals concept configurations — the frames of reference
→ Frame map