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
q1
Articles
11
From
2026-05-06 10:18:32+00
To
2026-05-29 07:17:14+00
Range
2026-05-03 00:11:38.40773+00 →
2026-06-02 00:11:38.40773+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| q1 | PRODUCT | 11 | 📊 🔍 🧲 |
| u.s. | GPE | 5 | 📊 🔍 🧲 |
| ai | ORG | 4 | 📊 🔍 🧲 |
| eps | ORG | 3 | 📊 🔍 🧲 |
| nyse | ORG | 3 | 📊 🔍 🧲 |
| q2 | CARDINAL | 3 | 📊 🔍 🧲 |
| 1 billion | MONEY | 2 | 📊 🔍 🧲 |
| amazon | ORG | 2 | 📊 🔍 🧲 |
| brazil | GPE | 2 | 📊 🔍 🧲 |
| canada | GPE | 2 | 📊 🔍 🧲 |
| china | GPE | 2 | 📊 🔍 🧲 |
| detroit | GPE | 2 | 📊 🔍 🧲 |
| europe | LOC | 2 | 📊 🔍 🧲 |
| european | NORP | 2 | 📊 🔍 🧲 |
| japan | GPE | 2 | 📊 🔍 🧲 |
| microsoft | ORG | 2 | 📊 🔍 🧲 |
| q4 | PRODUCT | 2 | 📊 🔍 🧲 |
| spain | GPE | 2 | 📊 🔍 🧲 |
| yoy | GPE | 2 | 📊 🔍 🧲 |
| 011 | MONEY | 1 | 📊 🔍 🧲 |
| 025 to 028 | MONEY | 1 | 📊 🔍 🧲 |
| 040 | MONEY | 1 | 📊 🔍 🧲 |
| 103 to | MONEY | 1 | 📊 🔍 🧲 |
| 114 billion | MONEY | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 9.09 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 6.2700 | 📊 🧲 |
| Environment, Climate | 1.8100 | 📊 🧲 |
| Business, Companies | 1.7900 | 📊 🧲 |
| Technology | 0.4400 | 📊 🧲 |
| Entertainment | 0.2700 | 📊 🧲 |
| Food and Beverage | 0.1700 | 📊 🧲 |
| Political Theatre | 0.0900 | 📊 🧲 |
| Civil Unrest, Conflict | 0.0600 | 📊 🧲 |
| Other | 0.0600 | — |
Articles included
Top entities
Top sources
Top narrative frames