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
commonwealth
Articles
7
From
2026-08-19 21:14:54+00
To
2026-09-15 17:42:10+00
Range
2026-08-19 17:16:37.614899+00 →
2026-09-18 17:16:37.614899+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| commonwealth | ORG | 7 | 📊 🔍 🧲 |
| massachusetts | GPE | 3 | 📊 🔍 🧲 |
| augusta health | ORG | 2 | 📊 🔍 🧲 |
| kim driscoll | PERSON | 2 | 📊 🔍 🧲 |
| mary n mannix | PERSON | 2 | 📊 🔍 🧲 |
| maura healey | PERSON | 2 | 📊 🔍 🧲 |
| phd | WORK_OF_ART | 2 | 📊 🔍 🧲 |
| virginia | GPE | 2 | 📊 🔍 🧲 |
| virginians | NORP | 2 | 📊 🔍 🧲 |
| 120 million | MONEY | 1 | 📊 🔍 🧲 |
| 121767 to 239715 | MONEY | 1 | 📊 🔍 🧲 |
| 123 million | MONEY | 1 | 📊 🔍 🧲 |
| 171 million | MONEY | 1 | 📊 🔍 🧲 |
| 25 trillion dollar | MONEY | 1 | 📊 🔍 🧲 |
| 30 million | MONEY | 1 | 📊 🔍 🧲 |
| 650 million | MONEY | 1 | 📊 🔍 🧲 |
| 8 million | MONEY | 1 | 📊 🔍 🧲 |
| a few days later | DATE | 1 | 📊 🔍 🧲 |
| abigail spanberger | PERSON | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| alvirne | PERSON | 1 | 📊 🔍 🧲 |
| amherst | NORP | 1 | 📊 🔍 🧲 |
| andover | GPE | 1 | 📊 🔍 🧲 |
| anna maria siegariz | PERSON | 1 | 📊 🔍 🧲 |
| anne p massey | PERSON | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 2.9600 | 📊 🧲 |
| Friends and Family | 1.0600 | 📊 🧲 |
| Health | 0.8600 | 📊 🧲 |
| Technology | 0.5100 | 📊 🧲 |
| Food and Beverage | 0.4900 | 📊 🧲 |
| Environment, Climate | 0.4700 | 📊 🧲 |
| Business, Companies | 0.3800 | 📊 🧲 |
| Civil Unrest, Conflict | 0.2200 | 📊 🧲 |
| Other | 0.0300 | — |
Articles included
Top entities
Top sources
Top narrative frames