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
black friday
Articles
6
From
2026-05-28 13:29:54+00
To
2026-06-21 17:22:47+00
Range
2026-05-27 10:55:29.560306+00 →
2026-06-26 10:55:29.560306+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| black friday | EVENT | 6 | 📊 🔍 🧲 |
| chp | ORG | 4 | 📊 🔍 🧲 |
| linkedin reddit | PERSON | 4 | 📊 🔍 🧲 |
| south bay | LOC | 4 | 📊 🔍 🧲 |
| thanksgiving | DATE | 4 | 📊 🔍 🧲 |
| calif | GPE | 3 | 📊 🔍 🧲 |
| levis stadium | FAC | 3 | 📊 🔍 🧲 |
| oakland | GPE | 3 | 📊 🔍 🧲 |
| san francisco | GPE | 3 | 📊 🔍 🧲 |
| san jose | GPE | 3 | 📊 🔍 🧲 |
| santa clara | GPE | 3 | 📊 🔍 🧲 |
| world cup | EVENT | 3 | 📊 🔍 🧲 |
| australia | GPE | 2 | 📊 🔍 🧲 |
| bay area | LOC | 2 | 📊 🔍 🧲 |
| betty yu | PERSON | 2 | 📊 🔍 🧲 |
| ktvu fox 2 news | ORG | 2 | 📊 🔍 🧲 |
| santa clara county | GPE | 2 | 📊 🔍 🧲 |
| south africa | GPE | 2 | 📊 🔍 🧲 |
| 195 million | MONEY | 1 | 📊 🔍 🧲 |
| 1m | MONEY | 1 | 📊 🔍 🧲 |
| 3 million | MONEY | 1 | 📊 🔍 🧲 |
| 328 million | MONEY | 1 | 📊 🔍 🧲 |
| 331 million | MONEY | 1 | 📊 🔍 🧲 |
| 384 million | MONEY | 1 | 📊 🔍 🧲 |
| 4063 million | MONEY | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 1.3200 | 📊 🧲 |
| Environment, Climate | 1.2700 | 📊 🧲 |
| Business, Companies | 1.2500 | 📊 🧲 |
| Technology | 0.5100 | 📊 🧲 |
| Health | 0.4200 | 📊 🧲 |
| Entertainment | 0.3900 | 📊 🧲 |
| Civil Unrest, Conflict | 0.3200 | 📊 🧲 |
| Friends and Family | 0.3100 | 📊 🧲 |
| Other | 0.1900 | — |
Articles included
Top entities
Top sources
Top narrative frames