Text & Content Analysis

Context: pub (upr.org)  |  Window: 24h · 7d · 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.

Explore by Category
Politics Sports Business Technology Science Health Entertainment

Corpus KPIs

Publisher
upr.org
Window
Last 30 days
Articles
1
From
2026-08-23 12:02:43+00
To
2026-08-23 12:02:43+00
Range
2026-07-25 22:43:30.595597+00 → 2026-08-24 22:43:30.595597+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
ayesha rascoe PERSON 1 📊 🔍 🧲
democrats NORP 1 📊 🔍 🧲
donald trump PERSON 1 📊 🔍 🧲
iran GPE 1 📊 🔍 🧲
korean NORP 1 📊 🔍 🧲
mara liasson PERSON 1 📊 🔍 🧲
npr ORG 1 📊 🔍 🧲
republicans NORP 1 📊 🔍 🧲
week DATE 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
upr.org 1 100.00 📊 📰 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.5000 📊 🧲
Political Theatre 0.3300 📊 🧲
Business, Companies 0.1500 📊 🧲
How it feels

Sentiment

Label Articles Actions
☹️ Negative 1 📊 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-08-23 12:02:43+00 Politics upr.org Week in politics: primaries results, Iran pressure, Korean relations flip Analyze Mara Liasson,Ayesha Rascoe ☹️ negative -0.2196