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
pimlico race course
Articles
2
From
2026-05-15 19:30:00+00
To
2026-05-16 21:07:28+00
Range
2026-04-19 20:39:35.199689+00 →
2026-05-19 20:39:35.199689+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| baltimore | GPE | 2 | 📊 🔍 🧲 |
| golden tempo | PERSON | 2 | 📊 🔍 🧲 |
| iron honor | PERSON | 2 | 📊 🔍 🧲 |
| laurel park | FAC | 2 | 📊 🔍 🧲 |
| md | GPE | 2 | 📊 🔍 🧲 |
| pimlico | ORG | 2 | 📊 🔍 🧲 |
| pimlico race course | ORG | 2 | 📊 🔍 🧲 |
| preakness | PRODUCT | 2 | 📊 🔍 🧲 |
| taj mahal | PERSON | 2 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| anthony edwards | PERSON | 1 | 📊 🔍 🧲 |
| aqueduct racetrack | ORG | 1 | 📊 🔍 🧲 |
| arsenal | GPE | 1 | 📊 🔍 🧲 |
| asian | NORP | 1 | 📊 🔍 🧲 |
| bayer leverkusen | ORG | 1 | 📊 🔍 🧲 |
| bournemouth | ORG | 1 | 📊 🔍 🧲 |
| brittany russell | PERSON | 1 | 📊 🔍 🧲 |
| buffalo | GPE | 1 | 📊 🔍 🧲 |
| buffalo sabres | PERSON | 1 | 📊 🔍 🧲 |
| bukayo saka | PERSON | 1 | 📊 🔍 🧲 |
| burnley | ORG | 1 | 📊 🔍 🧲 |
| chad brown | PERSON | 1 | 📊 🔍 🧲 |
| champagne | ORG | 1 | 📊 🔍 🧲 |
| chip honcho | PERSON | 1 | 📊 🔍 🧲 |
| dc | GPE | 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 |
|---|---|---|---|---|---|---|---|
| 2026-05-16 21:07:28+00 | Sports |
|
2026 Preakness Stakes horses, odds, predictions, time: Expert who hit 11 winners reveals horse racing picks | Analyze | Ross Kelly | 😐 neutral | 0.2217 |
| 2026-05-15 19:30:00+00 | Sports |
|
From The Sports Desk: Preakness preview | Analyze | Steve Kornacki,Doha Madani,Joe Prince-Wright, NBC Sports | 😐 neutral | 0.1281 |