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
nitra
Articles
1
From
2026-03-10 08:30:00+00
To
2026-03-10 08:30:00+00
Range
2026-03-03 17:52:55.054152+00 →
2026-03-10 17:52:55.054152+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 1 billion | MONEY | 1 | 📊 🔍 🧲 |
| 205 million | MONEY | 1 | 📊 🔍 🧲 |
| 33 million | MONEY | 1 | 📊 🔍 🧲 |
| 50 million | MONEY | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| atlanta | GPE | 1 | 📊 🔍 🧲 |
| barack obamas | LOC | 1 | 📊 🔍 🧲 |
| cnn | ORG | 1 | 📊 🔍 🧲 |
| covid | ORG | 1 | 📊 🔍 🧲 |
| fiscalnote | ORG | 1 | 📊 🔍 🧲 |
| fortune | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| healthcare | ORG | 1 | 📊 🔍 🧲 |
| hwang | PERSON | 1 | 📊 🔍 🧲 |
| jonathan chen | PERSON | 1 | 📊 🔍 🧲 |
| may 1920 2026 | DATE | 1 | 📊 🔍 🧲 |
| more than 700 | CARDINAL | 1 | 📊 🔍 🧲 |
| nitra | ORG | 1 | 📊 🔍 🧲 |
| nitra mart | ORG | 1 | 📊 🔍 🧲 |
| obama | GPE | 1 | 📊 🔍 🧲 |
| park | PERSON | 1 | 📊 🔍 🧲 |
| princeton | ORG | 1 | 📊 🔍 🧲 |
| recommended video nitra | ORG | 1 | 📊 🔍 🧲 |
| richard park | PERSON | 1 | 📊 🔍 🧲 |
| tim hwang | PERSON | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-03-10 08:30:00+00 | Business |
|
This Harvard dropout took a company public before 30. Now he’s raising $205M to fix the business side of medicine | Analyze | Catherina Gioino | 😐 neutral | 0.1364 |