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
5 million
Articles
7
From
2026-04-05 12:00:00+00
To
2026-04-20 18:15:08+00
Range
2026-03-29 17:06:05.054458+00 →
2026-04-28 17:06:05.054458+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 5 million | MONEY | 7 | 📊 🔍 🧲 |
| democrats | NORP | 5 | 📊 🔍 🧲 |
| donald trump | PERSON | 4 | 📊 🔍 🧲 |
| florida | GPE | 4 | 📊 🔍 🧲 |
| republicans | NORP | 4 | 📊 🔍 🧲 |
| u.s. | GPE | 4 | 📊 🔍 🧲 |
| new york | GPE | 3 | 📊 🔍 🧲 |
| cherfilusmccormick | PERSON | 2 | 📊 🔍 🧲 |
| congress | ORG | 2 | 📊 🔍 🧲 |
| covid | ORG | 2 | 📊 🔍 🧲 |
| democrat | NORP | 2 | 📊 🔍 🧲 |
| house | ORG | 2 | 📊 🔍 🧲 |
| mamdani | PERSON | 2 | 📊 🔍 🧲 |
| new york city | GPE | 2 | 📊 🔍 🧲 |
| sheila cherfilusmccormick | PERSON | 2 | 📊 🔍 🧲 |
| texas | GPE | 2 | 📊 🔍 🧲 |
| zohran mamdani | PERSON | 2 | 📊 🔍 🧲 |
| 103 million | MONEY | 1 | 📊 🔍 🧲 |
| 127 billion | MONEY | 1 | 📊 🔍 🧲 |
| 133 million | MONEY | 1 | 📊 🔍 🧲 |
| 150 million | MONEY | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 3.1500 | 📊 🧲 |
| Business, Companies | 1.1800 | 📊 🧲 |
| Political Theatre | 0.6500 | 📊 🧲 |
| Civil Unrest, Conflict | 0.6200 | 📊 🧲 |
| Friends and Family | 0.5900 | 📊 🧲 |
| Environment, Climate | 0.5800 | 📊 🧲 |
| Technology | 0.1400 | 📊 🧲 |
| Health | 0.0700 | 📊 🧲 |
| Other | 0.0100 | — |
Articles included
Top entities
Top sources
Top narrative frames