Text & Content Analysis
This page analyzes how a selected entity or topic appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.
Corpus KPIs
Entity
berlin
Articles
2
From
2026-02-09 12:30:00+00
To
2026-02-09 14:06:13+00
Range
2026-02-09 01:33:55.134948+00 →
2026-02-10 01:33:55.134948+00
Who’s being talked about
Top Entities
| Entity | Label | Articles | Actions |
|---|---|---|---|
| berlin | GPE | 2 | 📊 🔍 🧲 |
| latin american | NORP | 2 | 📊 🔍 🧲 |
| MONEY | 1 | 📊 🔍 🧲 | |
| 1 million | MONEY | 1 | 📊 🔍 🧲 |
| 14 million | MONEY | 1 | 📊 🔍 🧲 |
| 15 billion | MONEY | 1 | 📊 🔍 🧲 |
| 152 million | MONEY | 1 | 📊 🔍 🧲 |
| 16 billion | MONEY | 1 | 📊 🔍 🧲 |
| 24 million | MONEY | 1 | 📊 🔍 🧲 |
| 255 million | MONEY | 1 | 📊 🔍 🧲 |
| 3 billion | MONEY | 1 | 📊 🔍 🧲 |
| 50 million | MONEY | 1 | 📊 🔍 🧲 |
| 500 million | MONEY | 1 | 📊 🔍 🧲 |
| 53 million | MONEY | 1 | 📊 🔍 🧲 |
| 54 million | MONEY | 1 | 📊 🔍 🧲 |
| 565 million | MONEY | 1 | 📊 🔍 🧲 |
| 700 million | MONEY | 1 | 📊 🔍 🧲 |
| 75 million | MONEY | 1 | 📊 🔍 🧲 |
| 95 million | MONEY | 1 | 📊 🔍 🧲 |
| 98 | DATE | 1 | 📊 🔍 🧲 |
| a few weeks | DATE | 1 | 📊 🔍 🧲 |
| about six months | DATE | 1 | 📊 🔍 🧲 |
| abram | PRODUCT | 1 | 📊 🔍 🧲 |
| adopts krypto | PERSON | 1 | 📊 🔍 🧲 |
| alan dixon | PERSON | 1 | 📊 🔍 🧲 |
Articles included
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-02-09 14:06:13+00 | Entertainment |
|
Berlinale Generation Queer Horror Pic ‘No Salgas’ Picked Up by Berlin-Based Arthood Entertainment (EXCLUSIVE) | Analyze | Anna Marie de la Fuente | 🙂 positive | 0.1496 |
| 2026-02-09 12:30:00+00 | Politics |
|
What being a billionaire scion taught JB Pritzker about standing up to one | Analyze | Chasity Hale | 🙂 positive | 0.0691 |