Text & Content Analysis

Context: entity (syrian)  |  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
syrian
Window
Last 30 days
Articles
3
From
2026-04-27 23:18:37+00
To
2026-04-29 22:13:55+00
Range
2026-04-01 11:52:04.318478+00 β†’ 2026-05-01 11:52:04.318478+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.0300 πŸ“Š 🧲
Environment, Climate 0.7900 πŸ“Š 🧲
Civil Unrest, Conflict 0.6500 πŸ“Š 🧲
Political Theatre 0.1700 πŸ“Š 🧲
Technology 0.1200 πŸ“Š 🧲
Food and Beverage 0.1100 πŸ“Š 🧲
Business, Companies 0.0700 πŸ“Š 🧲
Entertainment 0.0400 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-04-29 22:13:55+00 Politics nbcnews.com Republicans score twin redistricting victories: From the Politics Desk Analyze The Politics Desk 😐 neutral 0.1602
2026-04-29 06:12:31+00 Business theguardian.com UK exports to Middle East tumble as Iran war hits economy Analyze https://www.theguardian.com/profile/graemewearden 😐 neutral 0.0826
2026-04-27 23:18:37+00 Business cbsnews.com Cambridge cafe owner says Central Square construction project is hurting business: "I'm really bankrupt" Analyze Mike Sullivan 😐 neutral 0.0263