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
simply wall st
Articles
24
From
2026-08-11 10:19:09+00
To
2026-09-06 22:21:42+00
Range
2026-08-09 22:11:44.012323+00 β
2026-09-08 22:11:44.012323+00
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ai | PRODUCT | 24 | π π 𧲠|
| fair value | PERSON | 24 | π π 𧲠|
| nvidia | ORG | 24 | π π 𧲠|
| popular narratives os | ORG | 24 | π π 𧲠|
| simply wall st | PERSON | 24 | π π 𧲠|
| amazon | ORG | 21 | π π 𧲠|
| cu cubaneros | ORG | 20 | π π 𧲠|
| jo | PERSON | 20 | π π 𧲠|
| microsoft | ORG | 20 | π π 𧲠|
| the free research report | ORG | 17 | π π 𧲠|
| nyse | ORG | 16 | π π 𧲠|
| one | CARDINAL | 16 | π π 𧲠|
| be | ORG | 15 | π π 𧲠|
| track the fair value | WORK_OF_ART | 15 | π π 𧲠|
| amazoncom | ORG | 15 | π π 𧲠|
| ki kiwiinvest | ORG | 15 | π π 𧲠|
| portfolios | ORG | 15 | π π 𧲠|
| the free research report similar companies nyse | ORG | 14 | π π 𧲠|
| mercadolibre | ORG | 13 | π π 𧲠|
| tr | ORG | 13 | π π 𧲠|
| 105 million | MONEY | 12 | π π 𧲠|
| 2 billion | MONEY | 12 | π π 𧲠|
| andrew legget which | PERSON | 12 | π π 𧲠|
| johnson johnson | ORG | 12 | π π 𧲠|
| korea | GPE | 12 | π π 𧲠|
Whoβs talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
24 | 100.00 | π π° 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 10.6500 | π 𧲠|
| Government | 9.4700 | π 𧲠|
| Technology | 3.0100 | π 𧲠|
| Environment, Climate | 0.7300 | π 𧲠|
| Health | 0.0400 | π 𧲠|
| Entertainment | 0.0200 | π 𧲠|
| Political Theatre | 0.0200 | π 𧲠|
| Civil Unrest, Conflict | 0.0200 | π 𧲠|
Articles included
Top entities
Top sources
Top narrative frames