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
Publisher
bostonglobe.com
Articles
13
From
2026-08-18 06:30:00+00
To
2026-09-14 22:17:56+00
Range
2026-08-17 04:36:30.685741+00 →
2026-09-16 04:36:30.685741+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| boston | GPE | 6 | 📊 🔍 🧲 |
| globe | ORG | 6 | 📊 🔍 🧲 |
| massachusetts | GPE | 5 | 📊 🔍 🧲 |
| lindsay clancy | PERSON | 4 | 📊 🔍 🧲 |
| clancy | PRODUCT | 3 | 📊 🔍 🧲 |
| donald trump | PERSON | 3 | 📊 🔍 🧲 |
| americans | NORP | 2 | 📊 🔍 🧲 |
| brighton | PERSON | 2 | 📊 🔍 🧲 |
| cambridge | GPE | 2 | 📊 🔍 🧲 |
| democrats | NORP | 2 | 📊 🔍 🧲 |
| metro | ORG | 2 | 📊 🔍 🧲 |
| michelle wu | PERSON | 2 | 📊 🔍 🧲 |
| the boston globe | ORG | 2 | 📊 🔍 🧲 |
| yvonne abraham | PERSON | 2 | 📊 🔍 🧲 |
| 125 million | MONEY | 1 | 📊 🔍 🧲 |
| 155 million | MONEY | 1 | 📊 🔍 🧲 |
| 250 million | MONEY | 1 | 📊 🔍 🧲 |
| 30 trillion | MONEY | 1 | 📊 🔍 🧲 |
| 40 million | MONEY | 1 | 📊 🔍 🧲 |
| 40 to 60 | MONEY | 1 | 📊 🔍 🧲 |
| 45 million | MONEY | 1 | 📊 🔍 🧲 |
| 50 million | MONEY | 1 | 📊 🔍 🧲 |
| a decade ago | DATE | 1 | 📊 🔍 🧲 |
| about 30000 to 35000 | CARDINAL | 1 | 📊 🔍 🧲 |
| about 4800 | CARDINAL | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 4.6100 | 📊 🧲 |
| Technology | 2.2200 | 📊 🧲 |
| Business, Companies | 1.8800 | 📊 🧲 |
| Environment, Climate | 1.1500 | 📊 🧲 |
| Friends and Family | 0.9900 | 📊 🧲 |
| Civil Unrest, Conflict | 0.9000 | 📊 🧲 |
| Health | 0.7700 | 📊 🧲 |
| Political Theatre | 0.2600 | 📊 🧲 |
| Other | 0.1800 | — |
Articles included
Top entities
Top sources
Top narrative frames