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
a big treat to the city
Articles
1
From
2026-03-24 00:27:00+00
To
2026-03-24 00:27:00+00
Range
2026-02-22 07:07:19.361995+00 →
2026-03-24 07:07:19.361995+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 191 billion | MONEY | 1 | 📊 🔍 🧲 |
| a big treat to the city | ORG | 1 | 📊 🔍 🧲 |
| always | ORG | 1 | 📊 🔍 🧲 |
| beat | PERSON | 1 | 📊 🔍 🧲 |
| boston | GPE | 1 | 📊 🔍 🧲 |
| brother | ORG | 1 | 📊 🔍 🧲 |
| classic | ORG | 1 | 📊 🔍 🧲 |
| community | ORG | 1 | 📊 🔍 🧲 |
| door | ORG | 1 | 📊 🔍 🧲 |
| driver | ORG | 1 | 📊 🔍 🧲 |
| endless routes | ORG | 1 | 📊 🔍 🧲 |
| four | CARDINAL | 1 | 📊 🔍 🧲 |
| google add preferred source | ORG | 1 | 📊 🔍 🧲 |
| groveland | ORG | 1 | 📊 🔍 🧲 |
| haverhill | ORG | 1 | 📊 🔍 🧲 |
| hospitals | ORG | 1 | 📊 🔍 🧲 |
| hourly daily | ORG | 1 | 📊 🔍 🧲 |
| ideally | ORG | 1 | 📊 🔍 🧲 |
| immediately | ORG | 1 | 📊 🔍 🧲 |
| inside wl french | ORG | 1 | 📊 🔍 🧲 |
| justin timberlakes | PERSON | 1 | 📊 🔍 🧲 |
| keegan | ORG | 1 | 📊 🔍 🧲 |
| keegan easily | ORG | 1 | 📊 🔍 🧲 |
| keegen mccrae | PERSON | 1 | 📊 🔍 🧲 |
| laguardia airport watch | ORG | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-03-24 00:27:00+00 | Business |
|
$5 flat-fee deliveries: A Haverhill business is built on community connection | Analyze | WCVB | 😐 neutral | 0.217 |