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
a day later
Articles
1
From
2026-09-15 21:38:26+00
To
2026-09-15 21:38:26+00
Range
2026-09-09 23:06:03.833368+00 →
2026-09-16 23:06:03.833368+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| a day later | DATE | 1 | 📊 🔍 🧲 |
| about 794 million | CARDINAL | 1 | 📊 🔍 🧲 |
| anticipating | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| bari weiss | PERSON | 1 | 📊 🔍 🧲 |
| bilton | PERSON | 1 | 📊 🔍 🧲 |
| cbs | ORG | 1 | 📊 🔍 🧲 |
| cbs news | ORG | 1 | 📊 🔍 🧲 |
| cecilia vega | PERSON | 1 | 📊 🔍 🧲 |
| cnn | ORG | 1 | 📊 🔍 🧲 |
| david ellison | PERSON | 1 | 📊 🔍 🧲 |
| donald trump | PERSON | 1 | 📊 🔍 🧲 |
| facebook tweet email link threads link copied | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| follow paramount | PERSON | 1 | 📊 🔍 🧲 |
| last month | DATE | 1 | 📊 🔍 🧲 |
| manhattan | GPE | 1 | 📊 🔍 🧲 |
| media football see | ORG | 1 | 📊 🔍 🧲 |
| nbc | ORG | 1 | 📊 🔍 🧲 |
| new york city | GPE | 1 | 📊 🔍 🧲 |
| new york times | ORG | 1 | 📊 🔍 🧲 |
| nfl | ORG | 1 | 📊 🔍 🧲 |
| nick bilton | PERSON | 1 | 📊 🔍 🧲 |
| nielsen | PERSON | 1 | 📊 🔍 🧲 |
| paramount | ORG | 1 | 📊 🔍 🧲 |
| pelley | ORG | 1 | 📊 🔍 🧲 |
| scott pelley | PERSON | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-09-15 21:38:26+00 | Business |
|
An overhauled ‘60 Minutes’ sheds viewers in season premiere | Analyze | Brian Stelter | 😐 neutral | 0.0651 |