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
at least 300
Articles
2
From
2026-05-03 06:57:45+00
To
2026-05-04 10:30:00+00
Range
2026-04-28 16:37:04.828335+00 →
2026-05-05 16:37:04.828335+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| at least 300 | CARDINAL | 2 | 📊 🔍 🧲 |
| a bienz | PERSON | 1 | 📊 🔍 🧲 |
| 9 million | MONEY | 1 | 📊 🔍 🧲 |
| a adam | PERSON | 1 | 📊 🔍 🧲 |
| aaron tays | PERSON | 1 | 📊 🔍 🧲 |
| acl | ORG | 1 | 📊 🔍 🧲 |
| africa | LOC | 1 | 📊 🔍 🧲 |
| africa kenya | LOC | 1 | 📊 🔍 🧲 |
| african | NORP | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| alexa | ORG | 1 | 📊 🔍 🧲 |
| american meteorological society | ORG | 1 | 📊 🔍 🧲 |
| askhistorians | NORP | 1 | 📊 🔍 🧲 |
| at least 65 | CARDINAL | 1 | 📊 🔍 🧲 |
| august next year | DATE | 1 | 📊 🔍 🧲 |
| bbc | ORG | 1 | 📊 🔍 🧲 |
| bbc africa | FAC | 1 | 📊 🔍 🧲 |
| bbcafrica | PERSON | 1 | 📊 🔍 🧲 |
| ben williamson | PERSON | 1 | 📊 🔍 🧲 |
| binis | PERSON | 1 | 📊 🔍 🧲 |
| buffalo | GPE | 1 | 📊 🔍 🧲 |
| cctv | ORG | 1 | 📊 🔍 🧲 |
| chicago | GPE | 1 | 📊 🔍 🧲 |
| chris ayers photographylicensed | PERSON | 1 | 📊 🔍 🧲 |
| citations news | ORG | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-05-04 10:30:00+00 | Science |
|
Don’t trust AI for help with citations, science-fair judges warn | Analyze | Kathryn Hulick | 😐 neutral | 0.0439 |
| 2026-05-03 06:57:45+00 | Politics |
|
Kenya violence: As political tension cranks up fears grow of a return to unrest | Analyze | bbc.com | 😐 neutral | -0.0014 |