Intelligence · Component · topic-relationship-graph

Topic relationship and sentiment graph

Working Synthetic data T3 · Signal Stream & Alerts

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

NameTypeDefaultValues
operationstringaggregateaggregate
query———
filters———
synonyms———
sentiment_keywords———

Maturity and limits

Working

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.

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 · 10KB

SHA-256 9bc4f21ce3d9d3bd8750a127abc1de8fcf9d32a0858f0f3fddc92ece30a4b7a5

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