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
email facebook
Articles
6
From
2026-03-22 17:33:00+00
To
2026-03-29 01:30:00+00
Range
2026-03-22 14:04:58.772841+00 →
2026-03-29 14:04:58.772841+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| email facebook | PERSON | 6 | 📊 🔍 🧲 |
| email print copy | PERSON | 6 | 📊 🔍 🧲 |
| PERSON | 6 | 📊 🔍 🧲 | |
| donald trump | PERSON | 4 | 📊 🔍 🧲 |
| 25 | PERCENT | 2 | 📊 🔍 🧲 |
| 4 | ORG | 2 | 📊 🔍 🧲 |
| california | GPE | 2 | 📊 🔍 🧲 |
| cancel start | PERSON | 2 | 📊 🔍 🧲 |
| facebook twitter | PERSON | 2 | 📊 🔍 🧲 |
| new york | GPE | 2 | 📊 🔍 🧲 |
| save post | ORG | 2 | 📊 🔍 🧲 |
| the associated press | ORG | 2 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| 19 to 70 | MONEY | 1 | 📊 🔍 🧲 |
| 25cf6cdkdec8 | MONEY | 1 | 📊 🔍 🧲 |
| 25kam kamkdec8mq26cd765 | MONEY | 1 | 📊 🔍 🧲 |
| 3 million | MONEY | 1 | 📊 🔍 🧲 |
| 6 | DATE | 1 | 📊 🔍 🧲 |
| a day | DATE | 1 | 📊 🔍 🧲 |
| a decade later | DATE | 1 | 📊 🔍 🧲 |
| a246 | MONEY | 1 | 📊 🔍 🧲 |
| a6 25 | CARDINAL | 1 | 📊 🔍 🧲 |
| a6c e62 | PERSON | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 1.9600 | 📊 🧲 |
| Government | 1.1600 | 📊 🧲 |
| Environment, Climate | 0.7500 | 📊 🧲 |
| Political Theatre | 0.5000 | 📊 🧲 |
| Friends and Family | 0.4900 | 📊 🧲 |
| Entertainment | 0.4400 | 📊 🧲 |
| Civil Unrest, Conflict | 0.3800 | 📊 🧲 |
| Technology | 0.2200 | 📊 🧲 |
| Other | 0.1000 | — |
Articles included
Top entities
Top sources
Top narrative frames