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
a2
Articles
2
From
Sun, Sep 13 • 2:00 AM EDT
To
Thu, Oct 1 • 6:33 AM EDT
Range
Tue, Sep 1 • 8:43 PM EDT →
Thu, Oct 1 • 8:43 PM EDT
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| a2 | PRODUCT | 2 | 📊 🔍 🧲 |
| c82 | PERCENT | 2 | 📊 🔍 🧲 |
| cde | ORG | 2 | 📊 🔍 🧲 |
| d6 | CARDINAL | 2 | 📊 🔍 🧲 |
| e | PERSON | 2 | 📊 🔍 🧲 |
| e6 | CARDINAL | 2 | 📊 🔍 🧲 |
| e9 | CARDINAL | 2 | 📊 🔍 🧲 |
| e92 | PERSON | 2 | 📊 🔍 🧲 |
| e96 | ORG | 2 | 📊 🔍 🧲 |
| email print copy | PERSON | 2 | 📊 🔍 🧲 |
| PERCENT | 1 | 📊 🔍 🧲 | |
| 40 trillion | MONEY | 1 | 📊 🔍 🧲 |
| 8 million | MONEY | 1 | 📊 🔍 🧲 |
| 962529 yf4e | MONEY | 1 | 📊 🔍 🧲 |
| a2ce4 | PERSON | 1 | 📊 🔍 🧲 |
| ac66c | ORG | 1 | 📊 🔍 🧲 |
| ae | ORG | 1 | 📊 🔍 🧲 |
| america | GPE | 1 | 📊 🔍 🧲 |
| apple podcasts | ORG | 1 | 📊 🔍 🧲 |
| ballenger center drive | ORG | 1 | 📊 🔍 🧲 |
| bluesky whatsapp | PERSON | 1 | 📊 🔍 🧲 |
| brunswick | GPE | 1 | 📊 🔍 🧲 |
| brunswick railroad | FAC | 1 | 📊 🔍 🧲 |
| bulletin | PRODUCT | 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 |
|---|---|---|---|---|---|---|---|
| 2026-10-01 10:33:00+00 | Entertainment |
|
NEED TO KNOW: Arts and culture news this week | Analyze | Lauren LaRocca | 🙂 positive | 0.3121 |
| 2026-09-13 06:00:00+00 | Science |
|
VT Science Corner: Virginia Tech now at the helm of a national laboratory | Analyze | Kevin Pitts | 😐 neutral | 0.1587 |