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
belgium
Articles
2
From
2026-04-28 11:37:20+00
To
2026-04-28 12:09:14+00
Range
2026-04-28 06:02:26.506122+00 →
2026-04-29 06:02:26.506122+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| CARDINAL | 2 | 📊 🔍 🧲 | |
| belgium | GPE | 2 | 📊 🔍 🧲 |
| derby | ORG | 2 | 📊 🔍 🧲 |
| france | GPE | 2 | 📊 🔍 🧲 |
| germany | GPE | 2 | 📊 🔍 🧲 |
| spain | GPE | 2 | 📊 🔍 🧲 |
| 11 million | MONEY | 1 | 📊 🔍 🧲 |
| 115 million | MONEY | 1 | 📊 🔍 🧲 |
| 118 million | MONEY | 1 | 📊 🔍 🧲 |
| 125 million | MONEY | 1 | 📊 🔍 🧲 |
| 129 million | MONEY | 1 | 📊 🔍 🧲 |
| 18 million | MONEY | 1 | 📊 🔍 🧲 |
| 2 million | MONEY | 1 | 📊 🔍 🧲 |
| 2124 million | MONEY | 1 | 📊 🔍 🧲 |
| 230 million | MONEY | 1 | 📊 🔍 🧲 |
| 327 million | MONEY | 1 | 📊 🔍 🧲 |
| 50 million | MONEY | 1 | 📊 🔍 🧲 |
| 8 million | MONEY | 1 | 📊 🔍 🧲 |
| 800 million | MONEY | 1 | 📊 🔍 🧲 |
| aaron | PERSON | 1 | 📊 🔍 🧲 |
| ac milan | ORG | 1 | 📊 🔍 🧲 |
| adamed technology | ORG | 1 | 📊 🔍 🧲 |
| adjacent | PERSON | 1 | 📊 🔍 🧲 |
| ai | 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 |
|---|---|---|---|---|---|---|---|
| 2026-04-28 12:09:14+00 | Sports |
|
🇺🇸 Y! Sports AM: World Cup roster projections | Analyze | Kendall Baker | 😐 neutral | 0.1772 |
| 2026-04-28 11:37:20+00 | Business |
|
How a Spanish startup pivoted to video AI and built a $230 million ARR business with no VC funding | Analyze | Alexei Oreskovic | 😐 neutral | 0.0198 |