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
contacts
Articles
1
From
2026-08-11 19:38:28+00
To
2026-08-11 19:38:28+00
Range
2026-08-10 22:26:16.909053+00 →
2026-08-11 22:26:16.909053+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 237 million | MONEY | 1 | 📊 🔍 🧲 |
| contacts | MONEY | 1 | 📊 🔍 🧲 |
| gouverneur nyc | ORG | 1 | 📊 🔍 🧲 |
| GPE | 1 | 📊 🔍 🧲 | |
| julie brandfield | PERSON | 1 | 📊 🔍 🧲 |
| legalhealth | ORG | 1 | 📊 🔍 🧲 |
| legalhealth unit | ORG | 1 | 📊 🔍 🧲 |
| legalhealth unit for free legal services for patients additional | ORG | 1 | 📊 🔍 🧲 |
| GPE | 1 | 📊 🔍 🧲 | |
| long island | LOC | 1 | 📊 🔍 🧲 |
| md | GPE | 1 | 📊 🔍 🧲 |
| morrisania nyc health hospitalsharlem nyc | ORG | 1 | 📊 🔍 🧲 |
| ms | GPE | 1 | 📊 🔍 🧲 |
| nearly 4000 | CARDINAL | 1 | 📊 🔍 🧲 |
| new york city | GPE | 1 | 📊 🔍 🧲 |
| new york legal assistance group | ORG | 1 | 📊 🔍 🧲 |
| new york legal assistance groups | ORG | 1 | 📊 🔍 🧲 |
| new yorkers | NORP | 1 | 📊 🔍 🧲 |
| nichola davis | PERSON | 1 | 📊 🔍 🧲 |
| ny | ORG | 1 | 📊 🔍 🧲 |
| nyc | LOC | 1 | 📊 🔍 🧲 |
| nyc health hospitals | ORG | 1 | 📊 🔍 🧲 |
| nyc health hospitals commits | ORG | 1 | 📊 🔍 🧲 |
| nyc health hospitalsbellevue new york | ORG | 1 | 📊 🔍 🧲 |
| nyc health hospitalsbellevue nyc health hospitalselmhurst nyc health | ORG | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 100.00 | 📊 📰 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-08-11 19:38:28+00 | Health |
|
NYC Health + Hospitals Commits $23.7 Million to New York Legal Assistance Group’s LegalHealth Unit for Free Legal Services for Patients | Analyze | NYC Health + Hospitals | 😐 neutral | 0.2146 |