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
keep
Articles
6
From
2026-07-27 16:44:21+00
To
2026-07-30 21:27:13+00
Range
2026-07-24 01:52:58.298004+00 β
2026-07-31 01:52:58.298004+00
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| keep | PERSON | 6 | π π 𧲠|
| email website Ξ΄ | PERSON | 3 | π π 𧲠|
| first | ORDINAL | 3 | π π 𧲠|
| hollywood | GPE | 3 | π π 𧲠|
| submit | ORG | 3 | π π 𧲠|
| weekend hadestowns | ORG | 3 | π π 𧲠|
| cbs | ORG | 2 | π π 𧲠|
| david ellison | PERSON | 2 | π π 𧲠|
| netflix | ORG | 2 | π π 𧲠|
| set records | ORG | 2 | π π 𧲠|
| 10m | MONEY | 1 | π π 𧲠|
| 137 billion | MONEY | 1 | π π 𧲠|
| 15 billion | MONEY | 1 | π π 𧲠|
| 156 billion | MONEY | 1 | π π 𧲠|
| 400m | MONEY | 1 | π π 𧲠|
| a13 aes | PERSON | 1 | π π 𧲠|
| abc | ORG | 1 | π π 𧲠|
| aes | ORG | 1 | π π 𧲠|
| affiliated | ORG | 1 | π π 𧲠|
| affiliated monitors | ORG | 1 | π π 𧲠|
| africa | LOC | 1 | π π 𧲠|
| agreement | PRODUCT | 1 | π π 𧲠|
| ali hazelwood | PERSON | 1 | π π 𧲠|
| ali hazelwood christina lauren | PERSON | 1 | π π 𧲠|
| ali hazelwoods | PERSON | 1 | π π 𧲠|
Whoβs talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
3 | 50.00 | π π° 𧲠|
|
|
1 | 16.67 | π π° 𧲠|
|
|
1 | 16.67 | π π° 𧲠|
|
|
1 | 16.67 | π π° 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 2.3700 | π 𧲠|
| Government | 1.3900 | π 𧲠|
| Environment, Climate | 0.8300 | π 𧲠|
| Health | 0.6400 | π 𧲠|
| Technology | 0.3600 | π 𧲠|
| Friends and Family | 0.1500 | π 𧲠|
| Civil Unrest, Conflict | 0.1200 | π 𧲠|
| Food and Beverage | 0.0800 | π 𧲠|
| Other | 0.0500 | β |
Articles included
Top entities
Top sources
Top narrative frames