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
resy
Articles
1
From
2026-03-17 11:00:35+00
To
2026-03-17 11:00:35+00
Range
2026-03-10 14:21:53.021228+00 →
2026-03-17 14:21:53.021228+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 100000 to 200000 | MONEY | 1 | 📊 🔍 🧲 |
| 12 billion | MONEY | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| american express | ORG | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| carbone | ORG | 1 | 📊 🔍 🧲 |
| chicago | GPE | 1 | 📊 🔍 🧲 |
| cnn | ORG | 1 | 📊 🔍 🧲 |
| doordash | PRODUCT | 1 | 📊 🔍 🧲 |
| dorsia | GPE | 1 | 📊 🔍 🧲 |
| facebook tweet email link threads link copied | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| food | ORG | 1 | 📊 🔍 🧲 |
| las vegas | GPE | 1 | 📊 🔍 🧲 |
| lotenberg | PERSON | 1 | 📊 🔍 🧲 |
| manhattan | GPE | 1 | 📊 🔍 🧲 |
| marc lotenberg | PERSON | 1 | 📊 🔍 🧲 |
| marco shalma | PERSON | 1 | 📊 🔍 🧲 |
| mcdonald | ORG | 1 | 📊 🔍 🧲 |
| miami | GPE | 1 | 📊 🔍 🧲 |
| michael nagle | PERSON | 1 | 📊 🔍 🧲 |
| mona panjwani | PERSON | 1 | 📊 🔍 🧲 |
| nearly 40 | PERCENT | 1 | 📊 🔍 🧲 |
| new york | GPE | 1 | 📊 🔍 🧲 |
| new york city | GPE | 1 | 📊 🔍 🧲 |
| new york citys | GPE | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-03-17 11:00:35+00 | Business |
|
The restaurant reservation wars show no signs of slowing down | Analyze | Jordan Valinsky | 😐 neutral | 0.149 |