Text & Content Analysis

Context: entity (estates)  |  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
estates
Window
Last 30 days
Articles
1
From
2026-04-29 14:17:01+00
To
2026-04-29 14:17:01+00
Range
2026-03-31 17:43:53.360641+00 β†’ 2026-04-30 17:43:53.360641+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
ai ORG 1 πŸ“Š πŸ” 🧲
ben mcdade PERSON 1 πŸ“Š πŸ” 🧲
between 2024 and 2025 DATE 1 πŸ“Š πŸ” 🧲
cambridge university ORG 1 πŸ“Š πŸ” 🧲
carla stark PERSON 1 πŸ“Š πŸ” 🧲
category buyer PERSON 1 πŸ“Š πŸ” 🧲
claire rogerson PERSON 1 πŸ“Š πŸ” 🧲
digital solutions ORG 1 πŸ“Š πŸ” 🧲
earth LOC 1 πŸ“Š πŸ” 🧲
england GPE 1 πŸ“Š πŸ” 🧲
eppendorf GPE 1 πŸ“Š πŸ” 🧲
estates ORG 1 πŸ“Š πŸ” 🧲
european NORP 1 πŸ“Š πŸ” 🧲
green computing PERSON 1 πŸ“Š πŸ” 🧲
hepatitis NORP 1 πŸ“Š πŸ” 🧲
ian still PERSON 1 πŸ“Š πŸ” 🧲
informatics ORG 1 πŸ“Š πŸ” 🧲
informatics support group team ORG 1 πŸ“Š πŸ” 🧲
institute ORG 1 πŸ“Š πŸ” 🧲
loΓ―c lannelongue PERSON 1 πŸ“Š πŸ” 🧲
nancy holroyd PERSON 1 πŸ“Š πŸ” 🧲
pete clapham PERSON 1 πŸ“Š πŸ” 🧲
pete claphams PERSON 1 πŸ“Š πŸ” 🧲
platform solutions ORG 1 πŸ“Š πŸ” 🧲
pue ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.4200 πŸ“Š 🧲
Technology 0.2800 πŸ“Š 🧲
Government 0.2000 πŸ“Š 🧲
Business, Companies 0.0600 πŸ“Š 🧲
Political Theatre 0.0400 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
2026-04-29 14:17:01+00 Science sangerinstitute.blog The history of spatial transcriptomics at Sanger Analyze markthomsonsanger 😐 neutral 0.1048