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
columbia university
Articles
1
From
2026-06-11 15:46:46+00
To
2026-06-11 15:46:46+00
Range
2026-06-11 03:05:40.764024+00 →
2026-06-12 03:05:40.764024+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| accuracy | PERSON | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| c | NORP | 1 | 📊 🔍 🧲 |
| carol clark | PERSON | 1 | 📊 🔍 🧲 |
| christopher l augostini | PERSON | 1 | 📊 🔍 🧲 |
| columbia university | ORG | 1 | 📊 🔍 🧲 |
| digital medicine | ORG | 1 | 📊 🔍 🧲 |
| emory | PERSON | 1 | 📊 🔍 🧲 |
| emory christopher l augostini | PERSON | 1 | 📊 🔍 🧲 |
| emory university | ORG | 1 | 📊 🔍 🧲 |
| flaw | PERSON | 1 | 📊 🔍 🧲 |
| imperial college | ORG | 1 | 📊 🔍 🧲 |
| jenna wiens | PERSON | 1 | 📊 🔍 🧲 |
| jiayu yao | PERSON | 1 | 📊 🔍 🧲 |
| london | GPE | 1 | 📊 🔍 🧲 |
| one | CARDINAL | 1 | 📊 🔍 🧲 |
| print top stories | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| science technology time | ORG | 1 | 📊 🔍 🧲 |
| sepsis | NORP | 1 | 📊 🔍 🧲 |
| shengpu tang | PERSON | 1 | 📊 🔍 🧲 |
| sonali parbhoo | PERSON | 1 | 📊 🔍 🧲 |
| southern | NORP | 1 | 📊 🔍 🧲 |
| southern spaces | ORG | 1 | 📊 🔍 🧲 |
| tang | PERSON | 1 | 📊 🔍 🧲 |
| trouble the land | WORK_OF_ART | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-06-11 15:46:46+00 | Health |
|
Time for an AI checkup: Flaw found in machine learning for sepsis treatment | Analyze | Emory News | 😐 neutral | 0.0599 |