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
sora
Articles
2
From
2026-08-03 20:45:32+00
To
2026-08-07 04:01:00+00
Range
2026-07-09 05:14:15.421653+00 →
2026-08-08 05:14:15.421653+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| disney | ORG | 2 | 📊 🔍 🧲 |
| netflix | ORG | 2 | 📊 🔍 🧲 |
| openai | GPE | 2 | 📊 🔍 🧲 |
| sora | GPE | 2 | 📊 🔍 🧲 |
| 1 billion | MONEY | 1 | 📊 🔍 🧲 |
| 125 million | MONEY | 1 | 📊 🔍 🧲 |
| 135 billion | MONEY | 1 | 📊 🔍 🧲 |
| 20 billion | MONEY | 1 | 📊 🔍 🧲 |
| 250 million | MONEY | 1 | 📊 🔍 🧲 |
| 60 million | MONEY | 1 | 📊 🔍 🧲 |
| 7 million | MONEY | 1 | 📊 🔍 🧲 |
| adweek | GPE | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| ai influencers are heading into uncharted territory ai | ORG | 1 | 📊 🔍 🧲 |
| ai newsletter | ORG | 1 | 📊 🔍 🧲 |
| ai revenue generation time | EVENT | 1 | 📊 🔍 🧲 |
| ai turns entertainment into | ORG | 1 | 📊 🔍 🧲 |
| ai turns entertainment into a product of one | ORG | 1 | 📊 🔍 🧲 |
| alexandr wang | PERSON | 1 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| amazon sponsored products | ORG | 1 | 📊 🔍 🧲 |
| anthropic | GPE | 1 | 📊 🔍 🧲 |
| applovin | ORG | 1 | 📊 🔍 🧲 |
| audio netflix | PERSON | 1 | 📊 🔍 🧲 |
| august 8 | DATE | 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 |
|---|---|---|---|---|---|---|---|
| 2026-08-07 04:01:00+00 | Entertainment |
|
Future of Marketing Briefing: Creator agencies are becoming entertainment studios — brands are footing the bill | Analyze | Seb Joseph | 😐 neutral | 0.1704 |
| 2026-08-03 20:45:32+00 | Entertainment |
|
AI Turns Entertainment Into a Product of One | Analyze | PYMNTS | 😐 neutral | 0.0961 |