Text & Content Analysis

Context: entity (liz mckeown)  |  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
liz mckeown
Window
Last 30 days
Articles
1
From
2026-09-15 06:20:19+00
To
2026-09-15 06:20:19+00
Range
2026-08-16 13:45:34.603677+00 → 2026-09-15 13:45:34.603677+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
bst PERSON 1 📊 🔍 🧲
liz mckeown PERSON 1 📊 🔍 🧲
may to july DATE 1 📊 🔍 🧲
nhs ORG 1 📊 🔍 🧲
ons ORG 1 📊 🔍 🧲
share PRODUCT 1 📊 🔍 🧲
u.s. GPE 1 📊 🔍 🧲
uk GPE 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
Government 0.7900 📊 🧲
Civil Unrest, Conflict 0.0900 📊 🧲
Food and Beverage 0.0800 📊 🧲
Business, Companies 0.0300 📊 🧲
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
2026-09-15 06:20:19+00 Business theguardian.com UK companies keep shedding staff as pay growth slows Analyze https://www.theguardian.com/profile/graemewearden 😐 neutral 0.0996