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
email
Articles
9
From
2026-04-16 00:30:03+00
To
2026-05-12 16:22:54+00
Range
2026-04-15 21:02:28.714781+00 →
2026-05-15 21:02:28.714781+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| PERSON | 9 | 📊 🔍 🧲 | |
| opens | ORG | 3 | 📊 🔍 🧲 |
| ai | ORG | 2 | 📊 🔍 🧲 |
| arkansas | GPE | 2 | 📊 🔍 🧲 |
| cdt | ORG | 2 | 📊 🔍 🧲 |
| facebook share on x | WORK_OF_ART | 2 | 📊 🔍 🧲 |
| facebook share on x opens | WORK_OF_ART | 2 | 📊 🔍 🧲 |
| jonesboro | GPE | 2 | 📊 🔍 🧲 |
| linkedin share | PERSON | 2 | 📊 🔍 🧲 |
| new york | GPE | 2 | 📊 🔍 🧲 |
| one | CARDINAL | 2 | 📊 🔍 🧲 |
| print email | PERSON | 2 | 📊 🔍 🧲 |
| share on facebook opens | ORG | 2 | 📊 🔍 🧲 |
| threads print | PERSON | 2 | 📊 🔍 🧲 |
| world cup | EVENT | 2 | 📊 🔍 🧲 |
| 150000 leading | MONEY | 1 | 📊 🔍 🧲 |
| 16m | MONEY | 1 | 📊 🔍 🧲 |
| 222000 | MONEY | 1 | 📊 🔍 🧲 |
| 3 million4 million | MONEY | 1 | 📊 🔍 🧲 |
| 53 trillion | MONEY | 1 | 📊 🔍 🧲 |
| a couple of years ago | DATE | 1 | 📊 🔍 🧲 |
| aaliyah hamilton | PERSON | 1 | 📊 🔍 🧲 |
| academic data science | ORG | 1 | 📊 🔍 🧲 |
| aeci | ORG | 1 | 📊 🔍 🧲 |
| ai architect | ORG | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 3.6600 | 📊 🧲 |
| Government | 2.0300 | 📊 🧲 |
| Technology | 1.4200 | 📊 🧲 |
| Environment, Climate | 0.8600 | 📊 🧲 |
| Friends and Family | 0.5600 | 📊 🧲 |
| Entertainment | 0.2300 | 📊 🧲 |
| Civil Unrest, Conflict | 0.1200 | 📊 🧲 |
| Political Theatre | 0.0600 | 📊 🧲 |
| Other | 0.0300 | — |
Articles included
Top entities
Top sources
Top narrative frames