Text & Content Analysis

Context: entity (el-sayed)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 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
el-sayed
Window
Last 24h
Articles
1
From
2026-07-08 02:01:15+00
To
2026-07-08 02:01:15+00
Range
2026-07-07 17:47:06.883454+00 β†’ 2026-07-08 17:47:06.883454+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
freep.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.6900 πŸ“Š 🧲
Political Theatre 0.1600 πŸ“Š 🧲
Civil Unrest, Conflict 0.0500 πŸ“Š 🧲
Food and Beverage 0.0400 πŸ“Š 🧲
Friends and Family 0.0400 πŸ“Š 🧲
Entertainment 0.0200 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-07-08 02:01:15+00 Politics freep.com El-Sayed, Stevens trade pointed barbs in Democratic US Senate debate Analyze , Detroit Free Press 😐 neutral 0.1161