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
esa
Articles
6
From
2026-08-21 07:00:00+00
To
2026-09-17 07:43:59+00
Range
2026-08-19 03:56:43.65713+00 →
2026-09-18 03:56:43.65713+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| esa | ORG | 6 | 📊 🔍 🧲 |
| nasa | ORG | 5 | 📊 🔍 🧲 |
| earth | LOC | 4 | 📊 🔍 🧲 |
| avio | PERSON | 2 | 📊 🔍 🧲 |
| copernicus | ORG | 2 | 📊 🔍 🧲 |
| european space agency | ORG | 2 | 📊 🔍 🧲 |
| italy | GPE | 2 | 📊 🔍 🧲 |
| solar system | PRODUCT | 2 | 📊 🔍 🧲 |
| this week | DATE | 2 | 📊 🔍 🧲 |
| uk | GPE | 2 | 📊 🔍 🧲 |
| 250 million | MONEY | 1 | 📊 🔍 🧲 |
| 450 million | MONEY | 1 | 📊 🔍 🧲 |
| a sánchezlavega | PERSON | 1 | 📊 🔍 🧲 |
| accuracy study reveals | ORG | 1 | 📊 🔍 🧲 |
| add quiver quantitative | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| adenot | ORG | 1 | 📊 🔍 🧲 |
| agustín sánchezlavega | PERSON | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| ailsa chang | PERSON | 1 | 📊 🔍 🧲 |
| algebris | ORG | 1 | 📊 🔍 🧲 |
| alyssa pagan | PERSON | 1 | 📊 🔍 🧲 |
| antonio caraviello | PERSON | 1 | 📊 🔍 🧲 |
| apple podcasts | ORG | 1 | 📊 🔍 🧲 |
| astronomers detect | ORG | 1 | 📊 🔍 🧲 |
| atmosphere polar | ORG | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Environment, Climate | 2.9300 | 📊 🧲 |
| Business, Companies | 1.1400 | 📊 🧲 |
| Government | 0.8300 | 📊 🧲 |
| Technology | 0.6600 | 📊 🧲 |
| Entertainment | 0.2000 | 📊 🧲 |
| Food and Beverage | 0.1300 | 📊 🧲 |
| Civil Unrest, Conflict | 0.0500 | 📊 🧲 |
| Friends and Family | 0.0400 | 📊 🧲 |
| Other | 0.0300 | — |
Articles included
Top entities
Top sources
Top narrative frames