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
recommended video
Articles
5
From
2026-03-31 07:00:00+00
To
2026-04-24 21:27:15+00
Range
2026-03-30 00:35:05.827853+00 →
2026-04-29 00:35:05.827853+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| recommended video | WORK_OF_ART | 5 | 📊 🔍 🧲 |
| u.s. | GPE | 5 | 📊 🔍 🧲 |
| ai | ORG | 3 | 📊 🔍 🧲 |
| amazon | ORG | 3 | 📊 🔍 🧲 |
| american | NORP | 3 | 📊 🔍 🧲 |
| detroit | GPE | 3 | 📊 🔍 🧲 |
| florida | GPE | 3 | 📊 🔍 🧲 |
| fortune | WORK_OF_ART | 3 | 📊 🔍 🧲 |
| fortune 500 | PRODUCT | 3 | 📊 🔍 🧲 |
| new york | GPE | 3 | 📊 🔍 🧲 |
| north america | LOC | 3 | 📊 🔍 🧲 |
| the fortune 500 innovation forum | ORG | 3 | 📊 🔍 🧲 |
| covid | PERSON | 2 | 📊 🔍 🧲 |
| covid19 | ORG | 2 | 📊 🔍 🧲 |
| disney | ORG | 2 | 📊 🔍 🧲 |
| donald trump | ORG | 2 | 📊 🔍 🧲 |
| europe | LOC | 2 | 📊 🔍 🧲 |
| london | GPE | 2 | 📊 🔍 🧲 |
| nba | ORG | 2 | 📊 🔍 🧲 |
| silicon valley | LOC | 2 | 📊 🔍 🧲 |
| white house | ORG | 2 | 📊 🔍 🧲 |
| wnba | ORG | 2 | 📊 🔍 🧲 |
| 18 million | MONEY | 1 | 📊 🔍 🧲 |
| 197 million | MONEY | 1 | 📊 🔍 🧲 |
| 200 million | MONEY | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 1.5700 | 📊 🧲 |
| Government | 1.1000 | 📊 🧲 |
| Technology | 0.8700 | 📊 🧲 |
| Environment, Climate | 0.4100 | 📊 🧲 |
| Political Theatre | 0.4100 | 📊 🧲 |
| Friends and Family | 0.3100 | 📊 🧲 |
| Health | 0.1300 | 📊 🧲 |
| Civil Unrest, Conflict | 0.1100 | 📊 🧲 |
| Other | 0.1200 | — |
Articles included
Top entities
Top sources
Top narrative frames