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
new york times
Articles
12
From
2026-04-10 08:00:55+00
To
2026-05-05 07:00:51+00
Range
2026-04-08 15:06:11.131653+00 →
2026-05-08 15:06:11.131653+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| donald trump | PERSON | 14 | 📊 🔍 🧲 |
| new york times | ORG | 12 | 📊 🔍 🧲 |
| republicans | NORP | 12 | 📊 🔍 🧲 |
| democrats | NORP | 10 | 📊 🔍 🧲 |
| americans | NORP | 7 | 📊 🔍 🧲 |
| u.s. | GPE | 7 | 📊 🔍 🧲 |
| american | NORP | 5 | 📊 🔍 🧲 |
| congress | ORG | 5 | 📊 🔍 🧲 |
| white house | ORG | 5 | 📊 🔍 🧲 |
| america | GPE | 4 | 📊 🔍 🧲 |
| house | ORG | 4 | 📊 🔍 🧲 |
| senate | ORG | 4 | 📊 🔍 🧲 |
| ai | ORG | 3 | 📊 🔍 🧲 |
| california | GPE | 3 | 📊 🔍 🧲 |
| china | GPE | 3 | 📊 🔍 🧲 |
| eu | ORG | 3 | 📊 🔍 🧲 |
| france | GPE | 3 | 📊 🔍 🧲 |
| maga | ORG | 3 | 📊 🔍 🧲 |
| russia | GPE | 3 | 📊 🔍 🧲 |
| washington post | ORG | 3 | 📊 🔍 🧲 |
| 2 million | MONEY | 2 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
2 | 16.67 | 📊 📰 🧲 |
|
|
2 | 16.67 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 4.3600 | 📊 🧲 |
| Business, Companies | 3.1200 | 📊 🧲 |
| Political Theatre | 1.0400 | 📊 🧲 |
| Environment, Climate | 0.9500 | 📊 🧲 |
| Technology | 0.8700 | 📊 🧲 |
| Civil Unrest, Conflict | 0.7100 | 📊 🧲 |
| Friends and Family | 0.6800 | 📊 🧲 |
| Health | 0.1600 | 📊 🧲 |
| Other | 0.0500 | — |
Articles included
Top entities
Top sources
Top narrative frames