Text & Content Analysis
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
Corpus KPIs
Entity
good morning
Articles
2
From
2026-06-26 06:04:53+00
To
2026-06-30 06:32:21+00
Range
2026-06-23 21:36:55.451711+00 →
2026-06-30 21:36:55.451711+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| bst | PERSON | 2 | 📊 🔍 🧲 |
| good morning | TIME | 2 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| uk | GPE | 2 | 📊 🔍 🧲 |
| andy burnham | PERSON | 1 | 📊 🔍 🧲 |
| april share | ORG | 1 | 📊 🔍 🧲 |
| brexit | PERSON | 1 | 📊 🔍 🧲 |
| britain | GPE | 1 | 📊 🔍 🧲 |
| britons | PERSON | 1 | 📊 🔍 🧲 |
| brussels | GPE | 1 | 📊 🔍 🧲 |
| bst ons | ORG | 1 | 📊 🔍 🧲 |
| bst university of michigans | ORG | 1 | 📊 🔍 🧲 |
| burnham | ORG | 1 | 📊 🔍 🧲 |
| covid | NORP | 1 | 📊 🔍 🧲 |
| donald trump | PERSON | 1 | 📊 🔍 🧲 |
| edt | ORG | 1 | 📊 🔍 🧲 |
| eu | ORG | 1 | 📊 🔍 🧲 |
| fdf | ORG | 1 | 📊 🔍 🧲 |
| g7 | CARDINAL | 1 | 📊 🔍 🧲 |
| german | NORP | 1 | 📊 🔍 🧲 |
| italian | NORP | 1 | 📊 🔍 🧲 |
| januarymarch | DATE | 1 | 📊 🔍 🧲 |
| karen betts | PERSON | 1 | 📊 🔍 🧲 |
| keir starmer | PERSON | 1 | 📊 🔍 🧲 |
| liz mckeown | PERSON | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-06-30 06:32:21+00 | Business |
|
UK living standards fall despite fastest growth in G7 | Analyze | https://www.theguardian.com/profile/graemewearden | 😐 neutral | 0.1565 |
| 2026-06-26 06:04:53+00 | Business |
|
UK food and drink exports fall as US tariffs and Brexit trade friction bites | Analyze | https://www.theguardian.com/profile/graemewearden | 😐 neutral | 0.224 |