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
city hall
Articles
1
From
2026-05-07 23:37:57+00
To
2026-05-07 23:37:57+00
Range
2026-05-07 12:18:05.359405+00 →
2026-05-08 12:18:05.359405+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 1 million | MONEY | 1 | 📊 🔍 🧲 |
| 115 million to 130 million | MONEY | 1 | 📊 🔍 🧲 |
| 2 million | MONEY | 1 | 📊 🔍 🧲 |
| 250 million | MONEY | 1 | 📊 🔍 🧲 |
| 60 to 4100 | MONEY | 1 | 📊 🔍 🧲 |
| 9 million to 12 million | MONEY | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| apple | ORG | 1 | 📊 🔍 🧲 |
| articles sakura marketplace | PERSON | 1 | 📊 🔍 🧲 |
| asking eric | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| bay area news group | ORG | 1 | 📊 🔍 🧲 |
| blackhawk plaza | PERSON | 1 | 📊 🔍 🧲 |
| bluesky print | PERSON | 1 | 📊 🔍 🧲 |
| breaking news | ORG | 1 | 📊 🔍 🧲 |
| broadway | FAC | 1 | 📊 🔍 🧲 |
| calif | GPE | 1 | 📊 🔍 🧲 |
| california | GPE | 1 | 📊 🔍 🧲 |
| city hall | FAC | 1 | 📊 🔍 🧲 |
| coffee | ORG | 1 | 📊 🔍 🧲 |
| councilmember janani ramachandran | PERSON | 1 | 📊 🔍 🧲 |
| councilmember zac unger | PERSON | 1 | 📊 🔍 🧲 |
| covid | ORG | 1 | 📊 🔍 🧲 |
| covid19 | ORG | 1 | 📊 🔍 🧲 |
| cravlings | ORG | 1 | 📊 🔍 🧲 |
| cushman wakefield | ORG | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-05-07 23:37:57+00 | Business |
|
Oakland’s businesses are struggling. Voters will decide on giving them a tax break. | Analyze | Shomik Mukherjee | 😐 neutral | 0.0781 |