Text & Content Analysis

Context: entity (intel)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 articles

This page analyzes how a selected category, entity, or narrative frame appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.

Corpus KPIs

Entity
intel
Window
Last 30 days
Articles
3
From
Thu, Aug 27 β€’ 1:41 PM EDT
To
Tue, Sep 8 β€’ 1:40 AM EDT
Range
Sun, Aug 23 β€’ 4:35 PM EDT β†’ Tue, Sep 22 β€’ 4:35 PM EDT
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.6100 πŸ“Š 🧲
Technology 0.4900 πŸ“Š 🧲
Business, Companies 0.4400 πŸ“Š 🧲
Environment, Climate 0.1900 πŸ“Š 🧲
Political Theatre 0.1400 πŸ“Š 🧲
Civil Unrest, Conflict 0.1100 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 πŸ“Š 🧲
☹️ Negative 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-08 05:40:27+00 Business helpnetsecurity.com Ransomware negotiation tactics have turned into a business process Analyze Help Net Security ☹️ negative -0.0292
2026-09-04 21:30:04+00 Science scmp.com Opinion | What Sputnik couldn’t do to American science, Beijing has Analyze South China Morning Post 😐 neutral 0.0782
2026-08-27 17:41:01+00 Business cnn.com AI’s rally is disguising a massive slump in tech stocks Analyze John Towfighi,Ramishah Maruf 😐 neutral 0.0179