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
220 million
Articles
2
From
2026-05-20 09:00:51+00
To
2026-06-11 06:19:13+00
Range
2026-05-18 07:38:01.571339+00 →
2026-06-17 07:38:01.571339+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 220 million | MONEY | 2 | 📊 🔍 🧲 |
| 22 million | MONEY | 1 | 📊 🔍 🧲 |
| 257 million | MONEY | 1 | 📊 🔍 🧲 |
| 29 billion | MONEY | 1 | 📊 🔍 🧲 |
| 4 nba finals game | MONEY | 1 | 📊 🔍 🧲 |
| 400 million | MONEY | 1 | 📊 🔍 🧲 |
| air force one | PRODUCT | 1 | 📊 🔍 🧲 |
| alshajara altayyiba school | LOC | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| anunoby | ORG | 1 | 📊 🔍 🧲 |
| arlington national cemetery | ORG | 1 | 📊 🔍 🧲 |
| at least one | CARDINAL | 1 | 📊 🔍 🧲 |
| billsoilers | ORG | 1 | 📊 🔍 🧲 |
| brunson | PERSON | 1 | 📊 🔍 🧲 |
| castle | ORG | 1 | 📊 🔍 🧲 |
| clutch player | PERSON | 1 | 📊 🔍 🧲 |
| cnn | ORG | 1 | 📊 🔍 🧲 |
| congress | ORG | 1 | 📊 🔍 🧲 |
| dc | GPE | 1 | 📊 🔍 🧲 |
| democrats | NORP | 1 | 📊 🔍 🧲 |
| donald trump | PERSON | 1 | 📊 🔍 🧲 |
| dylan harper | PERSON | 1 | 📊 🔍 🧲 |
| espn | ORG | 1 | 📊 🔍 🧲 |
| facebook tweet email link threads link copied | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| four | CARDINAL | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-06-11 06:19:13+00 | Sports |
|
As Game 4’s collapse showed, the Spurs have a De’Aaron Fox problem | Analyze | Tom Haberstroh | 😐 neutral | 0.0022 |
| 2026-05-20 09:00:51+00 | Politics |
|
Who will pay for Trump’s pet projects? Taxpayers | Analyze | Zachary B. Wolf | 😐 neutral | 0.0274 |