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
georgina
Articles
1
From
2026-03-02 17:47:06+00
To
2026-03-02 17:47:06+00
Range
2026-03-02 12:04:43.362192+00 →
2026-04-01 12:04:43.362192+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| murmuration | PERSON | 1 | 📊 🔍 🧲 |
| america | GPE | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| bloomberg | PERSON | 1 | 📊 🔍 🧲 |
| british | NORP | 1 | 📊 🔍 🧲 |
| buman | PERSON | 1 | 📊 🔍 🧲 |
| emma | PERSON | 1 | 📊 🔍 🧲 |
| emma bloomberg | PERSON | 1 | 📊 🔍 🧲 |
| english | LANGUAGE | 1 | 📊 🔍 🧲 |
| et hear | PERSON | 1 | 📊 🔍 🧲 |
| featured weekly ad | PERSON | 1 | 📊 🔍 🧲 |
| gen zers | PERSON | 1 | 📊 🔍 🧲 |
| georgina | PERSON | 1 | 📊 🔍 🧲 |
| goliath | PERSON | 1 | 📊 🔍 🧲 |
| harvard | ORG | 1 | 📊 🔍 🧲 |
| lee | PERSON | 1 | 📊 🔍 🧲 |
| massachusetts | GPE | 1 | 📊 🔍 🧲 |
| medford | GPE | 1 | 📊 🔍 🧲 |
| memphis lift | PERSON | 1 | 📊 🔍 🧲 |
| michael buman | PERSON | 1 | 📊 🔍 🧲 |
| michael r bloomberg | PERSON | 1 | 📊 🔍 🧲 |
| murmuration | ORG | 1 | 📊 🔍 🧲 |
| murmurations | ORG | 1 | 📊 🔍 🧲 |
| new york | GPE | 1 | 📊 🔍 🧲 |
| new york city | GPE | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-03-02 17:47:06+00 | Politics |
|
Emma Bloomberg could've done anything. She chose to help the underdogs | Analyze | Wendy Naugle | 😐 neutral | 0.1873 |