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
new yorkers
Articles
8
From
2026-08-02 12:00:20+00
To
2026-08-07 16:04:35+00
Range
2026-08-02 11:23:58.387782+00 →
2026-08-09 11:23:58.387782+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| new yorkers | NORP | 8 | 📊 🔍 🧲 |
| new york | GPE | 7 | 📊 🔍 🧲 |
| new york city | GPE | 4 | 📊 🔍 🧲 |
| new yorks | GPE | 4 | 📊 🔍 🧲 |
| u.s. | GPE | 4 | 📊 🔍 🧲 |
| zohran mamdani | PERSON | 4 | 📊 🔍 🧲 |
| democrats | NORP | 3 | 📊 🔍 🧲 |
| mamdani | PERSON | 3 | 📊 🔍 🧲 |
| city hall | FAC | 2 | 📊 🔍 🧲 |
| donald trump | ORG | 2 | 📊 🔍 🧲 |
| fox news | ORG | 2 | 📊 🔍 🧲 |
| guardian | ORG | 2 | 📊 🔍 🧲 |
| james | PERSON | 2 | 📊 🔍 🧲 |
| kathy hochul | PERSON | 2 | 📊 🔍 🧲 |
| letitia james | PERSON | 2 | 📊 🔍 🧲 |
| manhattan | GPE | 2 | 📊 🔍 🧲 |
| senate | ORG | 2 | 📊 🔍 🧲 |
| 33 million | MONEY | 1 | 📊 🔍 🧲 |
| 50 billion | MONEY | 1 | 📊 🔍 🧲 |
| adele keim | PERSON | 1 | 📊 🔍 🧲 |
| aframe brands | ORG | 1 | 📊 🔍 🧲 |
| ag | ORG | 1 | 📊 🔍 🧲 |
| albany | GPE | 1 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| amazon com | ORG | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 3.7000 | 📊 🧲 |
| Business, Companies | 1.1600 | 📊 🧲 |
| Environment, Climate | 0.8900 | 📊 🧲 |
| Civil Unrest, Conflict | 0.5900 | 📊 🧲 |
| Food and Beverage | 0.4100 | 📊 🧲 |
| Technology | 0.3600 | 📊 🧲 |
| Political Theatre | 0.3000 | 📊 🧲 |
| Health | 0.3000 | 📊 🧲 |
| Other | 0.2500 | — |
Articles included
Top entities
Top sources
Top narrative frames