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
3 billion
Articles
8
From
2026-05-17 05:01:00+00
To
2026-06-14 00:19:05+00
Range
2026-05-15 12:13:49.127315+00 →
2026-06-14 12:13:49.127315+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 3 billion | MONEY | 8 | 📊 🔍 🧲 |
| ai | ORG | 2 | 📊 🔍 🧲 |
| colorado | GPE | 2 | 📊 🔍 🧲 |
| maryland | GPE | 2 | 📊 🔍 🧲 |
| nba | ORG | 2 | 📊 🔍 🧲 |
| nfl | ORG | 2 | 📊 🔍 🧲 |
| 1 billion | MONEY | 1 | 📊 🔍 🧲 |
| 15 billion | MONEY | 1 | 📊 🔍 🧲 |
| 200 million | MONEY | 1 | 📊 🔍 🧲 |
| 275 million | MONEY | 1 | 📊 🔍 🧲 |
| 37 billion | MONEY | 1 | 📊 🔍 🧲 |
| 5 billion | MONEY | 1 | 📊 🔍 🧲 |
| 575 | MONEY | 1 | 📊 🔍 🧲 |
| abeyta | GPE | 1 | 📊 🔍 🧲 |
| abeyta multimedia | ORG | 1 | 📊 🔍 🧲 |
| all rights reserved | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| alphabet | PERSON | 1 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| annapolis | GPE | 1 | 📊 🔍 🧲 |
| atlanta | GPE | 1 | 📊 🔍 🧲 |
| aurora | PERSON | 1 | 📊 🔍 🧲 |
| baltimore county | GPE | 1 | 📊 🔍 🧲 |
| baynet | ORG | 1 | 📊 🔍 🧲 |
| best sports cities | EVENT | 1 | 📊 🔍 🧲 |
| big chicken | ORG | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 2.7400 | 📊 🧲 |
| Business, Companies | 1.8000 | 📊 🧲 |
| Environment, Climate | 1.4200 | 📊 🧲 |
| Technology | 0.6400 | 📊 🧲 |
| Friends and Family | 0.4800 | 📊 🧲 |
| Health | 0.3200 | 📊 🧲 |
| Civil Unrest, Conflict | 0.3100 | 📊 🧲 |
| Entertainment | 0.1300 | 📊 🧲 |
| Other | 0.1300 | — |
Articles included
Top entities
Top sources
Top narrative frames