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
david rivera
Articles
2
From
2026-03-24 10:34:26+00
To
2026-03-24 21:35:56+00
Range
2026-03-18 03:37:42.498907+00 →
2026-03-25 03:37:42.498907+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| david rivera | PERSON | 2 | 📊 🔍 🧲 |
| donald trump | PERSON | 2 | 📊 🔍 🧲 |
| florida | GPE | 2 | 📊 🔍 🧲 |
| iran | GPE | 2 | 📊 🔍 🧲 |
| marco rubio | PERSON | 2 | 📊 🔍 🧲 |
| miami | GPE | 2 | 📊 🔍 🧲 |
| republicans | NORP | 2 | 📊 🔍 🧲 |
| venezuela | GPE | 2 | 📊 🔍 🧲 |
| 20 million | MONEY | 1 | 📊 🔍 🧲 |
| abigail spanberger | PERSON | 1 | 📊 🔍 🧲 |
| adam wollner | PERSON | 1 | 📊 🔍 🧲 |
| alan armstrong | PERSON | 1 | 📊 🔍 🧲 |
| alexandria ocasiocortez | PERSON | 1 | 📊 🔍 🧲 |
| analilia mejia | PERSON | 1 | 📊 🔍 🧲 |
| atlanta | GPE | 1 | 📊 🔍 🧲 |
| bernie sanders | PERSON | 1 | 📊 🔍 🧲 |
| brennan leach | PERSON | 1 | 📊 🔍 🧲 |
| california | GPE | 1 | 📊 🔍 🧲 |
| capitol hill | ORG | 1 | 📊 🔍 🧲 |
| chuck schumer | PERSON | 1 | 📊 🔍 🧲 |
| cobb county | GPE | 1 | 📊 🔍 🧲 |
| cuba | GPE | 1 | 📊 🔍 🧲 |
| cuban | NORP | 1 | 📊 🔍 🧲 |
| democrat | NORP | 1 | 📊 🔍 🧲 |
| democrats | NORP | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 50.00 | 📊 📰 🧲 |
|
|
1 | 50.00 | 📊 📰 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-03-24 21:35:56+00 | Politics |
|
Steve Kornacki's guide to the next big elections on the calendar: From the Politics Desk | Analyze | The Politics Desk | 😐 neutral | 0.126 |
| 2026-03-24 10:34:26+00 | Politics |
|
ICE officers at airports a ‘test run’ for midterms, Steve Bannon suggests | Analyze | https://www.theguardian.com/profile/tom-ambrose | ☹️ negative | -0.0833 |