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
nhl
Articles
14
From
2026-06-06 04:10:50+00
To
2026-06-12 11:07:19+00
Range
2026-06-05 22:53:53.830333+00 →
2026-06-12 22:53:53.830333+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| nhl | ORG | 14 | 📊 🔍 🧲 |
| gm | ORG | 4 | 📊 🔍 🧲 |
| toronto | GPE | 4 | 📊 🔍 🧲 |
| vancouver | GPE | 4 | 📊 🔍 🧲 |
| buffalo | GPE | 3 | 📊 🔍 🧲 |
| dylan larkin | PERSON | 3 | 📊 🔍 🧲 |
| hart trophy | PERSON | 3 | 📊 🔍 🧲 |
| larkin | ORG | 3 | 📊 🔍 🧲 |
| north america | LOC | 3 | 📊 🔍 🧲 |
| philadelphia | GPE | 3 | 📊 🔍 🧲 |
| stanley cup final | EVENT | 3 | 📊 🔍 🧲 |
| vegas | PERSON | 3 | 📊 🔍 🧲 |
| washington | GPE | 3 | 📊 🔍 🧲 |
| 87 million | MONEY | 2 | 📊 🔍 🧲 |
| a year later | DATE | 2 | 📊 🔍 🧲 |
| adam | PERSON | 2 | 📊 🔍 🧲 |
| alexander | GPE | 2 | 📊 🔍 🧲 |
| alexander mogilny | PERSON | 2 | 📊 🔍 🧲 |
| american | NORP | 2 | 📊 🔍 🧲 |
| andrei vasilevskiy | PERSON | 2 | 📊 🔍 🧲 |
| ap | ORG | 2 | 📊 🔍 🧲 |
| associated press buffalo | ORG | 2 | 📊 🔍 🧲 |
| bowman | PERSON | 2 | 📊 🔍 🧲 |
| buffalo sabres | ORG | 2 | 📊 🔍 🧲 |
| canes | PERSON | 2 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 5.8700 | 📊 🧲 |
| Government | 2.9400 | 📊 🧲 |
| Environment, Climate | 2.0500 | 📊 🧲 |
| Technology | 1.3100 | 📊 🧲 |
| Entertainment | 0.7500 | 📊 🧲 |
| Civil Unrest, Conflict | 0.5800 | 📊 🧲 |
| Friends and Family | 0.2300 | 📊 🧲 |
| Political Theatre | 0.1200 | 📊 🧲 |
| Other | 0.0600 | — |
Articles included
Top entities
Top sources
Top narrative frames