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
nicole lurie
Articles
2
From
2026-05-23 10:45:49+00
To
2026-06-04 14:12:46+00
Range
2026-05-08 07:17:21.568831+00 →
2026-06-07 07:17:21.568831+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| bundibugyo | ORG | 2 | 📊 🔍 🧲 |
| cepi | ORG | 2 | 📊 🔍 🧲 |
| donald trump | PERSON | 2 | 📊 🔍 🧲 |
| nicole lurie | PERSON | 2 | 📊 🔍 🧲 |
| one | CARDINAL | 2 | 📊 🔍 🧲 |
| uganda | GPE | 2 | 📊 🔍 🧲 |
| who | ORG | 2 | 📊 🔍 🧲 |
| world health organization | ORG | 2 | 📊 🔍 🧲 |
| zaire | GPE | 2 | 📊 🔍 🧲 |
| 40 million dollar | MONEY | 1 | 📊 🔍 🧲 |
| 50 million | MONEY | 1 | 📊 🔍 🧲 |
| a decade ago nearly nine | DATE | 1 | 📊 🔍 🧲 |
| adam tooze | PERSON | 1 | 📊 🔍 🧲 |
| african | NORP | 1 | 📊 🔍 🧲 |
| alexander kustov | PERSON | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| anaïs legand | PERSON | 1 | 📊 🔍 🧲 |
| anna airy | PERSON | 1 | 📊 🔍 🧲 |
| barclays ajay rajadhyaksha | ORG | 1 | 📊 🔍 🧲 |
| bloomberg g7 | PERSON | 1 | 📊 🔍 🧲 |
| bls | ORG | 1 | 📊 🔍 🧲 |
| bookscan | PRODUCT | 1 | 📊 🔍 🧲 |
| brexit | PERSON | 1 | 📊 🔍 🧲 |
| british future | ORG | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-06-04 14:12:46+00 | Health |
|
What will it take to get a vaccine for the Ebola strain driving the current outbreak? | Analyze | Jonathan Lambert | 😐 neutral | 0.0745 |
| 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 |