Intelligence · Component · topic-relationship-graph
Topic relationship and sentiment graph
What it does
Aggregate recent article topics/tags into clusters and sentiment counts for a graph view.
Core pattern
Topic clustering and counts + relationship graph data
- Input
- Recent analyzed articles
- Output
- Graph/cluster data and bullish/bearish totals
Key parameters
| Name | Type | Default | Values |
|---|---|---|---|
| operation | string | aggregate | aggregate |
| query | — | — | — |
| filters | — | — | — |
| synonyms | — | — | — |
| sentiment_keywords | — | — | — |
Maturity and limits
Controller builds cached topic/tag aggregates from recent articles. Phase 2: source paths and implementation inspected statically; tests and external integrations were not executed. Maturity rates repository implementation, not a verified production deployment.
composer.json declares MIT but retains Laravel scaffold metadata; confirm application rights. Source/site terms, personal data and LLM accuracy matter. Several schedules are commented out; tests are mainly scaffold auth tests.
1 sentence citing source paths or vendor names omitted for publication.
Used in pipelines
Industry tags
- Media & contentSource-supported industry
For work involving editorial material, programs and reader services, use topic clustering and counts followed by relationship graph data.
- EnergyTransferable use
For equipment supplier and regulatory update briefs, use topic clustering and counts followed by relationship graph data.
Skills pack
Contract scaffold and deterministic mock
Download · 10KBSHA-256 9bc4f21ce3d9d3bd8750a127abc1de8fcf9d32a0858f0f3fddc92ece30a4b7a5
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