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
usa
Articles
16
From
2026-09-03 23:23:23+00
To
2026-09-09 22:34:46+00
Range
2026-09-03 09:39:02.15567+00 →
2026-09-10 09:39:02.15567+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| u.s. | GPE | 16 | 📊 🔍 🧲 |
| reuters | ORG | 9 | 📊 🔍 🧲 |
| imagn images | ORG | 8 | 📊 🔍 🧲 |
| utc | ORG | 5 | 📊 🔍 🧲 |
| california | GPE | 3 | 📊 🔍 🧲 |
| athletics | ORG | 2 | 📊 🔍 🧲 |
| chart story | PERSON | 2 | 📊 🔍 🧲 |
| new york | GPE | 2 | 📊 🔍 🧲 |
| seattle | GPE | 2 | 📊 🔍 🧲 |
| seattle mariners | PERSON | 2 | 📊 🔍 🧲 |
| toronto blue jays | ORG | 2 | 📊 🔍 🧲 |
| uk | GPE | 2 | 📊 🔍 🧲 |
| washington | GPE | 2 | 📊 🔍 🧲 |
| 1745 million | MONEY | 1 | 📊 🔍 🧲 |
| 47 million | MONEY | 1 | 📊 🔍 🧲 |
| 524 million | MONEY | 1 | 📊 🔍 🧲 |
| 71 million | MONEY | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| alejandro kirk | PERSON | 1 | 📊 🔍 🧲 |
| allison mccague sat | PERSON | 1 | 📊 🔍 🧲 |
| america | GPE | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| andres gimenez | PERSON | 1 | 📊 🔍 🧲 |
| andrew day | PERSON | 1 | 📊 🔍 🧲 |
| arizona stadium | FAC | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
13 | 81.25 | 📊 📰 🧲 |
|
|
1 | 6.25 | 📊 📰 🧲 |
|
|
1 | 6.25 | 📊 📰 🧲 |
|
|
1 | 6.25 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 4.3300 | 📊 🧲 |
| Government | 3.8500 | 📊 🧲 |
| Environment, Climate | 3.2500 | 📊 🧲 |
| Entertainment | 1.1900 | 📊 🧲 |
| Friends and Family | 1.1400 | 📊 🧲 |
| Technology | 1.1400 | 📊 🧲 |
| Food and Beverage | 0.4100 | 📊 🧲 |
| Political Theatre | 0.3100 | 📊 🧲 |
| Other | 0.2000 | — |
Articles included
Top entities
Top sources
Top narrative frames