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
china
Articles
2
From
2026-06-13 05:30:00+00
To
2026-06-13 11:00:41+00
Range
2026-06-13 05:06:13.970814+00 →
2026-06-14 05:06:13.970814+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| china | GPE | 2 | 📊 🔍 🧲 |
| europe | LOC | 2 | 📊 🔍 🧲 |
| a few hours | TIME | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| alabama | GPE | 1 | 📊 🔍 🧲 |
| asia | LOC | 1 | 📊 🔍 🧲 |
| autumn | DATE | 1 | 📊 🔍 🧲 |
| bloomberg | PERSON | 1 | 📊 🔍 🧲 |
| brexit | PERSON | 1 | 📊 🔍 🧲 |
| brexit labour | PERSON | 1 | 📊 🔍 🧲 |
| britain | GPE | 1 | 📊 🔍 🧲 |
| britons | GPE | 1 | 📊 🔍 🧲 |
| california | GPE | 1 | 📊 🔍 🧲 |
| cambridge universitys | ORG | 1 | 📊 🔍 🧲 |
| clayton | PERSON | 1 | 📊 🔍 🧲 |
| dan hanson | PERSON | 1 | 📊 🔍 🧲 |
| democrats | NORP | 1 | 📊 🔍 🧲 |
| eu | ORG | 1 | 📊 🔍 🧲 |
| european | NORP | 1 | 📊 🔍 🧲 |
| every year | DATE | 1 | 📊 🔍 🧲 |
| facebook x linkedin whatsapp pinterest | PERSON | 1 | 📊 🔍 🧲 |
| first | ORDINAL | 1 | 📊 🔍 🧲 |
| future | ORG | 1 | 📊 🔍 🧲 |
| good morning britain | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| good news newsletter | ORG | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 50.00 | 📊 📰 🧲 |
|
|
1 | 50.00 | 📊 📰 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-06-13 11:00:41+00 | Science |
|
The incredible memory of red squirrels: what scientists have just discovered - Futura-Sciences | Analyze | Futura Team | 😐 neutral | 0.0739 |
| 2026-06-13 05:30:00+00 | Politics |
|
Brexit ten years on: a decade of national ‘Bregret’? | Analyze | https://theweek.com/author/the-week-uk | 😐 neutral | 0.1912 |