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
the super bowl
Articles
2
From
2026-04-18 20:32:08+00
To
2026-05-05 04:01:00+00
Range
2026-04-08 07:27:43.31481+00 →
2026-05-08 07:27:43.31481+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| mlb | ORG | 2 | 📊 🔍 🧲 |
| nba | ORG | 2 | 📊 🔍 🧲 |
| nhl | ORG | 2 | 📊 🔍 🧲 |
| one | CARDINAL | 2 | 📊 🔍 🧲 |
| the super bowl | EVENT | 2 | 📊 🔍 🧲 |
| adam schwartz | PERSON | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| arnab mondal sat | PERSON | 1 | 📊 🔍 🧲 |
| audio anywhere podcast | ORG | 1 | 📊 🔍 🧲 |
| awful announcing | PERSON | 1 | 📊 🔍 🧲 |
| barrett media | PERSON | 1 | 📊 🔍 🧲 |
| boardroom | ORG | 1 | 📊 🔍 🧲 |
| canada | GPE | 1 | 📊 🔍 🧲 |
| cfo | ORG | 1 | 📊 🔍 🧲 |
| chicago | GPE | 1 | 📊 🔍 🧲 |
| college football playoff the college football playoff | ORG | 1 | 📊 🔍 🧲 |
| content commerce | ORG | 1 | 📊 🔍 🧲 |
| ctv | ORG | 1 | 📊 🔍 🧲 |
| digiday | DATE | 1 | 📊 🔍 🧲 |
| dow jones | ORG | 1 | 📊 🔍 🧲 |
| dylan dittrich | PERSON | 1 | 📊 🔍 🧲 |
| espn | ORG | 1 | 📊 🔍 🧲 |
| facebook twitter | PERSON | 1 | 📊 🔍 🧲 |
| front office sports | ORG | 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 |
|---|---|---|---|---|---|---|---|
| 2026-05-05 04:01:00+00 | Sports |
|
Why news publishers are getting into the sports business coverage | Analyze | Sara Guaglione | 😐 neutral | 0.1198 |
| 2026-04-18 20:32:08+00 | Sports |
|
Ranking American sports league & championship logos from worst to best | Analyze | Arnab Mondal | 😐 neutral | 0.191 |