Text & Content Analysis

Context: entity (jürgen matthes)  |  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.

Corpus KPIs

Entity
jürgen matthes
Window
Last 30 days
Articles
1
From
2026-05-19 06:00:02+00
To
2026-05-19 06:00:02+00
Range
2026-04-20 11:32:10.698687+00 → 2026-05-20 11:32:10.698687+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
about 96 PERCENT 1 📊 🔍 🧲
an estimated 250000 CARDINAL 1 📊 🔍 🧲
andrew small PERSON 1 📊 🔍 🧲
asia LOC 1 📊 🔍 🧲
beijing GPE 1 📊 🔍 🧲
berlin GPE 1 📊 🔍 🧲
brussels GPE 1 📊 🔍 🧲
china GPE 1 📊 🔍 🧲
china dailyreuters international ORG 1 📊 🔍 🧲
china dailyreuters view ORG 1 📊 🔍 🧲
chinese NORP 1 📊 🔍 🧲
eskelund ORG 1 📊 🔍 🧲
eu ORG 1 📊 🔍 🧲
europe LOC 1 📊 🔍 🧲
european NORP 1 📊 🔍 🧲
german NORP 1 📊 🔍 🧲
germany GPE 1 📊 🔍 🧲
google europe LOC 1 📊 🔍 🧲
guardian ORG 1 📊 🔍 🧲
jens eskelund PERSON 1 📊 🔍 🧲
jürgen matthes PERSON 1 📊 🔍 🧲
oliver richtberg PERSON 1 📊 🔍 🧲
richtberg PERSON 1 📊 🔍 🧲
shanghai GPE 1 📊 🔍 🧲
share prefer PERSON 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.4000 📊 🧲
Government 0.1700 📊 🧲
Civil Unrest, Conflict 0.1700 📊 🧲
Technology 0.1600 📊 🧲
Political Theatre 0.0800 📊 🧲
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
2026-05-19 06:00:02+00 Business theguardian.com Fears of new China shock as EU industry’s reliance on imports grows Analyze Lisa O’Carroll 😐 neutral 0.0513