Text & Content Analysis

Context: entity (u.s.-china)  |  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

Entity
u.s.-china
Window
Last 30 days
Articles
1
From
Sat, Sep 26 • 7:37 AM EDT
To
Sat, Sep 26 • 7:37 AM EDT
Range
Fri, Aug 28 • 3:26 PM EDT → Sun, Sep 27 • 3:26 PM EDT
Who’s being talked about

Top Entities

Entity Label Mentions Actions
audio ORG 1 📊 🔍 🧲
donald trump ORG 1 📊 🔍 🧲
elena moore week PERSON 1 📊 🔍 🧲
gop ORG 1 📊 🔍 🧲
npr ORG 1 📊 🔍 🧲
republicans NORP 1 📊 🔍 🧲
scott simon PERSON 1 📊 🔍 🧲
uschina NORP 1 📊 🔍 🧲
weekend edition saturday WORK_OF_ART 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Political Theatre 0.3400 📊 🧲
Government 0.3100 📊 🧲
Civil Unrest, Conflict 0.3000 📊 🧲
Entertainment 0.0500 📊 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 📊 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-26 11:37:54+00 Politics npr.org Week in Politics: Trump faces Republican defections; U.S.-China summit; press feud Analyze Scott Simon 😐 neutral 0.08