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
advertisement sign
Articles
3
From
2026-04-01 13:00:36+00
To
2026-04-29 15:25:02+00
Range
2026-03-31 17:03:14.497653+00 →
2026-04-30 17:03:14.497653+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| advertisement sign | PERSON | 3 | 📊 🔍 🧲 |
| massachusetts | GPE | 3 | 📊 🔍 🧲 |
| new scientist | ORG | 3 | 📊 🔍 🧲 |
| receive | PERSON | 3 | 📊 🔍 🧲 |
| eight weeks | DATE | 2 | 📊 🔍 🧲 |
| linkedin reddit | PERSON | 2 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| about a decade later | DATE | 1 | 📊 🔍 🧲 |
| africa | LOC | 1 | 📊 🔍 🧲 |
| agriculture brooke rollins | ORG | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| alison flood | PERSON | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| apollo | ORG | 1 | 📊 🔍 🧲 |
| april 2026 april | DATE | 1 | 📊 🔍 🧲 |
| april sue robinsonalamy huge numbers | DATE | 1 | 📊 🔍 🧲 |
| artemis ii | NORP | 1 | 📊 🔍 🧲 |
| at least four | CARDINAL | 1 | 📊 🔍 🧲 |
| australians | NORP | 1 | 📊 🔍 🧲 |
| b12 | ORG | 1 | 📊 🔍 🧲 |
| bbc tv | ORG | 1 | 📊 🔍 🧲 |
| beef | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| belgium | GPE | 1 | 📊 🔍 🧲 |
| bernd heinrich | PERSON | 1 | 📊 🔍 🧲 |
| bernd heinrich one | PERSON | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-04-29 15:25:02+00 | Health |
|
Simple treatment tweak drastically reduces blood loss from severe cuts | Analyze | Yujia Huang | 😐 neutral | 0.0625 |
| 2026-04-14 17:41:02+00 | Health |
|
Beef is making a comeback – does it fit into a healthy diet? | Analyze | #author.fullName} | 😐 neutral | 0.0887 |
| 2026-04-01 13:00:36+00 | Science |
|
The best new popular science books of April 2026 | Analyze | #author.fullName} | 😐 neutral | 0.1763 |