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
linkedin x
Articles
1
From
2026-06-10 12:32:06+00
To
2026-06-10 12:32:06+00
Range
2026-06-05 03:29:41.438625+00 →
2026-06-12 03:29:41.438625+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| american | NORP | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| approximately 25 | PERCENT | 1 | 📊 🔍 🧲 |
| biden | PERSON | 1 | 📊 🔍 🧲 |
| bill nye | PERSON | 1 | 📊 🔍 🧲 |
| congress | ORG | 1 | 📊 🔍 🧲 |
| copy | PERSON | 1 | 📊 🔍 🧲 |
| democrats | NORP | 1 | 📊 🔍 🧲 |
| department of government efficiency | ORG | 1 | 📊 🔍 🧲 |
| donald trump research | ORG | 1 | 📊 🔍 🧲 |
| email bluesky facebook | PERSON | 1 | 📊 🔍 🧲 |
| first | ORDINAL | 1 | 📊 🔍 🧲 |
| five to 12 | CARDINAL | 1 | 📊 🔍 🧲 |
| four months later | DATE | 1 | 📊 🔍 🧲 |
| grants university | ORG | 1 | 📊 🔍 🧲 |
| house | ORG | 1 | 📊 🔍 🧲 |
| linkedin x | PERSON | 1 | 📊 🔍 🧲 |
| nasa | ORG | 1 | 📊 🔍 🧲 |
| national science board | ORG | 1 | 📊 🔍 🧲 |
| national science foundation | ORG | 1 | 📊 🔍 🧲 |
| national science foundation trump | ORG | 1 | 📊 🔍 🧲 |
| nsf | ORG | 1 | 📊 🔍 🧲 |
| nsf sethuraman panchanathan | ORG | 1 | 📊 🔍 🧲 |
| office of management and budget federal | ORG | 1 | 📊 🔍 🧲 |
| one | CARDINAL | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-06-10 12:32:06+00 | Science |
|
National Science Foundation cuts mean researchers like me are losing grants – but impacts extend far beyond academia | Analyze | Remy Dou | 😐 neutral | 0.0466 |