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
nature
Articles
2
From
2026-05-01 15:45:00+00
To
2026-05-04 10:30:00+00
Range
2026-04-30 21:23:14.575805+00 →
2026-05-07 21:23:14.575805+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| nature | WORK_OF_ART | 2 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| a bienz | PERSON | 1 | 📊 🔍 🧲 |
| 275 million | MONEY | 1 | 📊 🔍 🧲 |
| 39 billion | MONEY | 1 | 📊 🔍 🧲 |
| 72 billion | MONEY | 1 | 📊 🔍 🧲 |
| 9 million | MONEY | 1 | 📊 🔍 🧲 |
| a adam | PERSON | 1 | 📊 🔍 🧲 |
| aaron tays | PERSON | 1 | 📊 🔍 🧲 |
| acl | ORG | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| alexa | ORG | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| american meteorological society | ORG | 1 | 📊 🔍 🧲 |
| artemis ii | PRODUCT | 1 | 📊 🔍 🧲 |
| askhistorians | NORP | 1 | 📊 🔍 🧲 |
| at least 300 | CARDINAL | 1 | 📊 🔍 🧲 |
| at least 65 | CARDINAL | 1 | 📊 🔍 🧲 |
| atlanta | GPE | 1 | 📊 🔍 🧲 |
| ben williamson | PERSON | 1 | 📊 🔍 🧲 |
| binis | PERSON | 1 | 📊 🔍 🧲 |
| buffalo | GPE | 1 | 📊 🔍 🧲 |
| canada | GPE | 1 | 📊 🔍 🧲 |
| chicago | GPE | 1 | 📊 🔍 🧲 |
| chris ayers photographylicensed | PERSON | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 50.00 | 📊 📰 🧲 |
|
|
1 | 50.00 | 📊 📰 🧲 |
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 |
| 2026-05-01 15:45:00+00 | Science |
|
US lawmakers vote to cut science spending—but reject Trump’s sweeping reductions | Analyze | Dan Garisto | 😐 neutral | 0.1367 |