Text & Content Analysis
This page analyzes how a selected entity or topic appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.
Corpus KPIs
Entity
super bowl lix
Articles
3
From
2026-01-31 02:03:59+00
To
2026-02-09 09:00:11+00
Range
2026-01-11 11:41:20.205263+00 →
2026-02-10 11:41:20.205263+00
Who’s being talked about
Top Entities
| Entity | Label | Articles | Actions |
|---|---|---|---|
| super bowl | EVENT | 3 | 📊 🔍 🧲 |
| super bowl lix | EVENT | 3 | 📊 🔍 🧲 |
| california | GPE | 2 | 📊 🔍 🧲 |
| louisiana | GPE | 2 | 📊 🔍 🧲 |
| new orleans | GPE | 2 | 📊 🔍 🧲 |
| nfl | ORG | 2 | 📊 🔍 🧲 |
| san francisco | GPE | 2 | 📊 🔍 🧲 |
| santa clara | GPE | 2 | 📊 🔍 🧲 |
| super bowl lx | EVENT | 2 | 📊 🔍 🧲 |
| 125 billion | MONEY | 1 | 📊 🔍 🧲 |
| 370 million to 630 million | MONEY | 1 | 📊 🔍 🧲 |
| 395 million | MONEY | 1 | 📊 🔍 🧲 |
| 658 million | MONEY | 1 | 📊 🔍 🧲 |
| 827 million | MONEY | 1 | 📊 🔍 🧲 |
| all rights reserved | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| america | GPE | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| arizona | GPE | 1 | 📊 🔍 🧲 |
| arkesha baquet | PERSON | 1 | 📊 🔍 🧲 |
| baquet | ORG | 1 | 📊 🔍 🧲 |
| bay area | LOC | 1 | 📊 🔍 🧲 |
| betway | ORG | 1 | 📊 🔍 🧲 |
| campilongo | PERSON | 1 | 📊 🔍 🧲 |
| cbs | ORG | 1 | 📊 🔍 🧲 |
Articles included
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-02-09 09:00:11+00 | Politics |
|
'Super Sick Monday' may see record number of employees missing work after the big game | Analyze | Drew Dixon | ☹️ negative | -0.0603 |
| 2026-02-07 13:00:47+00 | Business |
|
Why the Super Bowl is always so expensive | Analyze | Julian Torres | 🙂 positive | 0.1408 |
| 2026-01-31 02:03:59+00 | Business |
|
Bay Area businesses prepare for busy week as visitors arrive for Super Bowl LX in Santa Clara | Analyze | Max Darrow | 🙂 positive | 0.2204 |