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
goliath
Articles
2
From
2026-03-02 17:47:06+00
To
2026-03-31 20:36:25+00
Range
2026-03-02 09:03:49.154243+00 →
2026-04-01 09:03:49.154243+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| goliath | PERSON | 2 | 📊 🔍 🧲 |
| adidas | PERSON | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| america | GPE | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| arizona state | ORG | 1 | 📊 🔍 🧲 |
| asu | ORG | 1 | 📊 🔍 🧲 |
| berkson | PERSON | 1 | 📊 🔍 🧲 |
| bloomberg | PERSON | 1 | 📊 🔍 🧲 |
| british | NORP | 1 | 📊 🔍 🧲 |
| buman | PERSON | 1 | 📊 🔍 🧲 |
| cactus sports | ORG | 1 | 📊 🔍 🧲 |
| cam skattebo | PERSON | 1 | 📊 🔍 🧲 |
| champion | ORG | 1 | 📊 🔍 🧲 |
| cooper | PERSON | 1 | 📊 🔍 🧲 |
| copy snippet copy | ORG | 1 | 📊 🔍 🧲 |
| creative commons | ORG | 1 | 📊 🔍 🧲 |
| cronkite news | ORG | 1 | 📊 🔍 🧲 |
| david | PERSON | 1 | 📊 🔍 🧲 |
| david berkson | PERSON | 1 | 📊 🔍 🧲 |
| david vs | PERSON | 1 | 📊 🔍 🧲 |
| decades | DATE | 1 | 📊 🔍 🧲 |
| emma | PERSON | 1 | 📊 🔍 🧲 |
| emma bloomberg | PERSON | 1 | 📊 🔍 🧲 |
| english | LANGUAGE | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 50.00 | 📊 📰 🧲 |
|
|
1 | 50.00 | 📊 📰 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-03-31 20:36:25+00 | Sports |
|
David vs Goliath: How locally owned Cactus Sports competes with official ASU merchandise sellers | Analyze | Joshua De Luca | 😐 neutral | 0.1188 |
| 2026-03-02 17:47:06+00 | Politics |
|
Emma Bloomberg could've done anything. She chose to help the underdogs | Analyze | Wendy Naugle | 😐 neutral | 0.1873 |