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
2 billion
Articles
17
From
2026-08-23 09:05:00+00
To
2026-09-06 22:21:42+00
Range
2026-08-12 19:29:08.150825+00 β
2026-09-11 19:29:08.150825+00
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 2 billion | MONEY | 17 | π π 𧲠|
| ai | ORG | 15 | π π 𧲠|
| 105 million | MONEY | 12 | π π 𧲠|
| andrew legget which | PERSON | 12 | π π 𧲠|
| fair value | PERSON | 12 | π π 𧲠|
| johnson johnson | ORG | 12 | π π 𧲠|
| lo | GPE | 12 | π π 𧲠|
| loubasenese | NORP | 12 | π π 𧲠|
| nvidia | ORG | 12 | π π 𧲠|
| oncolytics biotech | PERSON | 12 | π π 𧲠|
| popular narratives os | ORG | 12 | π π 𧲠|
| simply wall st | PERSON | 12 | π π 𧲠|
| the team behind | WORK_OF_ART | 12 | π π 𧲠|
| nyse | ORG | 10 | π π 𧲠|
| amazon | ORG | 9 | π π 𧲠|
| jo | PERSON | 9 | π π 𧲠|
| mercadolibre | ORG | 9 | π π 𧲠|
| one | CARDINAL | 9 | π π 𧲠|
| cu cubaneros | ORG | 8 | π π 𧲠|
| microsoft | ORG | 8 | π π 𧲠|
| the free research report | ORG | 8 | π π 𧲠|
| 135 billion | MONEY | 6 | π π 𧲠|
| 472 million | MONEY | 6 | π π 𧲠|
| ackman | PERSON | 6 | π π 𧲠|
| andrew legget market | PERSON | 6 | π π 𧲠|
Whoβs talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
12 | 70.59 | π π° 𧲠|
|
|
2 | 11.76 | π π° 𧲠|
|
|
1 | 5.88 | π π° 𧲠|
|
|
1 | 5.88 | π π° 𧲠|
|
|
1 | 5.88 | π π° 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 7.1300 | π 𧲠|
| Business, Companies | 5.5600 | π 𧲠|
| Technology | 2.3100 | π 𧲠|
| Environment, Climate | 0.8600 | π 𧲠|
| Health | 0.4800 | π 𧲠|
| Civil Unrest, Conflict | 0.3300 | π 𧲠|
| Friends and Family | 0.1400 | π 𧲠|
| Entertainment | 0.1200 | π 𧲠|
| Other | 0.0300 | β |
Articles included
Top entities
Top sources
Top narrative frames