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
sarah
Articles
3
From
2026-05-13 16:25:44+00
To
2026-05-23 10:45:49+00
Range
2026-05-11 08:30:00.257783+00 →
2026-06-10 08:30:00.257783+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| sarah | PERSON | 3 | 📊 🔍 🧲 |
| one | CARDINAL | 2 | 📊 🔍 🧲 |
| PERSON | 1 | 📊 🔍 🧲 | |
| a decade ago nearly nine | DATE | 1 | 📊 🔍 🧲 |
| adam tooze | PERSON | 1 | 📊 🔍 🧲 |
| african | NORP | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| alexander kustov | PERSON | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| anna airy | PERSON | 1 | 📊 🔍 🧲 |
| anne trafton | PERSON | 1 | 📊 🔍 🧲 |
| barclays ajay rajadhyaksha | ORG | 1 | 📊 🔍 🧲 |
| bloomberg g7 | PERSON | 1 | 📊 🔍 🧲 |
| bls | ORG | 1 | 📊 🔍 🧲 |
| bookscan | PRODUCT | 1 | 📊 🔍 🧲 |
| brexit | PERSON | 1 | 📊 🔍 🧲 |
| british future | ORG | 1 | 📊 🔍 🧲 |
| bundibugyo | ORG | 1 | 📊 🔍 🧲 |
| caitlyn yates | PERSON | 1 | 📊 🔍 🧲 |
| caltech | ORG | 1 | 📊 🔍 🧲 |
| career development associate professor | EVENT | 1 | 📊 🔍 🧲 |
| cepi | ORG | 1 | 📊 🔍 🧲 |
| chart | PERSON | 1 | 📊 🔍 🧲 |
| chartbook | PERSON | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 0.9000 | 📊 🧲 |
| Technology | 0.8500 | 📊 🧲 |
| Government | 0.3600 | 📊 🧲 |
| Food and Beverage | 0.2500 | 📊 🧲 |
| Environment, Climate | 0.2100 | 📊 🧲 |
| Health | 0.1300 | 📊 🧲 |
| Friends and Family | 0.1000 | 📊 🧲 |
| Political Theatre | 0.0800 | 📊 🧲 |
| Other | 0.0700 | — |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-05-23 10:45:49+00 | Politics |
|
Bond breakout? Big effects of bad data. Immigration and thermostatic politics & dad-chat is coming for dad-books. | Analyze | Adam Tooze | 😐 neutral | 0.0632 |
| 2026-05-20 04:00:00+00 | Science |
|
Building AI models that understand chemical principles | Analyze | Anne Trafton | MIT News | 😐 neutral | 0.1181 |
| 2026-05-13 16:25:44+00 | Science |
|
🧪 Science with Sarah: Diet Coke & Mentos geysers! 🌋 | Analyze | KSAT | 🙂 positive | 0.5208 |