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
hollywood
Articles
6
From
2026-07-27 16:44:21+00
To
2026-08-01 16:00:09+00
Range
2026-07-27 09:39:30.198839+00 β
2026-08-03 09:39:30.198839+00
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| hollywood | GPE | 6 | π π 𧲠|
| cbs | ORG | 3 | π π 𧲠|
| email website Ξ΄ | PERSON | 3 | π π 𧲠|
| keep | PERSON | 3 | π π 𧲠|
| submit | ORG | 3 | π π 𧲠|
| weekend hadestowns | ORG | 3 | π π 𧲠|
| california | GPE | 2 | π π 𧲠|
| david ellison | PERSON | 2 | π π 𧲠|
| first | ORDINAL | 2 | π π 𧲠|
| netflix | ORG | 2 | π π 𧲠|
| set records | ORG | 2 | π π 𧲠|
| u.s. | GPE | 2 | π π 𧲠|
| 100 million | MONEY | 1 | π π 𧲠|
| 10m | MONEY | 1 | π π 𧲠|
| 11 billion | MONEY | 1 | π π 𧲠|
| 137 billion | MONEY | 1 | π π 𧲠|
| 156 billion | MONEY | 1 | π π 𧲠|
| 35 million | MONEY | 1 | π π 𧲠|
| 400m | MONEY | 1 | π π 𧲠|
| 47 million | MONEY | 1 | π π 𧲠|
| 7 million | MONEY | 1 | π π 𧲠|
| 91 million | MONEY | 1 | π π 𧲠|
| abc | ORG | 1 | π π 𧲠|
| africa | LOC | 1 | π π 𧲠|
| ai | ORG | 1 | π π 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 3.3300 | π 𧲠|
| Government | 1.7200 | π 𧲠|
| Environment, Climate | 0.4300 | π 𧲠|
| Entertainment | 0.2100 | π 𧲠|
| Civil Unrest, Conflict | 0.1000 | π 𧲠|
| Technology | 0.0900 | π 𧲠|
| Friends and Family | 0.0600 | π 𧲠|
| Health | 0.0400 | π 𧲠|
Articles included
Top entities
Top sources
Top narrative frames