Text & Content Analysis

Context: entity (theresa may)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
theresa may
Window
Last 30 days
Articles
3
From
2026-06-23 06:12:41+00
To
2026-07-14 15:41:39+00
Range
2026-06-15 03:34:03.902046+00 β†’ 2026-07-15 03:34:03.902046+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 1.5400 πŸ“Š 🧲
Business, Companies 0.8600 πŸ“Š 🧲
Government 0.3100 πŸ“Š 🧲
Political Theatre 0.1600 πŸ“Š 🧲
Technology 0.0400 πŸ“Š 🧲
Entertainment 0.0300 πŸ“Š 🧲
Environment, Climate 0.0200 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-07-14 15:41:39+00 Politics cnn.com Killings of three British politicians in a decade shine light on febrile political mood Analyze Issy Ronald 😐 neutral -0.0013
2026-07-11 05:00:43+00 Politics theguardian.com β€˜He goes a bit funny if you use his real name’: the unstoppable rise of Count Binface Analyze Daniel Boffey 😐 neutral 0.1098
2026-06-23 06:12:41+00 Politics npr.org Britain left the EU 10 years ago. Its politics has been an unruly mess Analyze The Associated Press 😐 neutral 0.0213