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
at least one
Articles
2
From
2026-05-03 03:00:33+00
To
2026-05-03 15:20:00+00
Range
2026-05-02 16:12:26.961401+00 →
2026-05-03 16:12:26.961401+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| at least one | CARDINAL | 2 | 📊 🔍 🧲 |
| 2 million | MONEY | 1 | 📊 🔍 🧲 |
| 231 billion | MONEY | 1 | 📊 🔍 🧲 |
| 303inthecut 303 | CARDINAL | 1 | 📊 🔍 🧲 |
| 36 billion | MONEY | 1 | 📊 🔍 🧲 |
| a month | DATE | 1 | 📊 🔍 🧲 |
| abuse | ORG | 1 | 📊 🔍 🧲 |
| advertised | GPE | 1 | 📊 🔍 🧲 |
| advertisement california | PERSON | 1 | 📊 🔍 🧲 |
| always | ORG | 1 | 📊 🔍 🧲 |
| arizona | GPE | 1 | 📊 🔍 🧲 |
| ashley zavala | PERSON | 1 | 📊 🔍 🧲 |
| ashton | ORG | 1 | 📊 🔍 🧲 |
| attend | ORG | 1 | 📊 🔍 🧲 |
| authority | ORG | 1 | 📊 🔍 🧲 |
| bakersfield | GPE | 1 | 📊 🔍 🧲 |
| based | GPE | 1 | 📊 🔍 🧲 |
| basically | ORG | 1 | 📊 🔍 🧲 |
| bechtel | GPE | 1 | 📊 🔍 🧲 |
| between 100 and 20 | CARDINAL | 1 | 📊 🔍 🧲 |
| billion | CARDINAL | 1 | 📊 🔍 🧲 |
| billions already spent | ORG | 1 | 📊 🔍 🧲 |
| board of equalization | ORG | 1 | 📊 🔍 🧲 |
| cal bike | PERSON | 1 | 📊 🔍 🧲 |
| california | GPE | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-05-03 15:20:00+00 | Politics |
|
California Politics 360 Full Episode | High-speed rail project facing delays | Analyze | Ashley Zavala | 😐 neutral | 0.1171 |
| 2026-05-03 03:00:33+00 | Business |
|
‘There’s plenty for all of us’: How a viral food truck became a lifeline for small businesses | Analyze | Christopher Lawrence | 😐 neutral | 0.0911 |