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
ipo
Articles
10
From
Thu, Sep 3 β’ 12:01 AM EDT
To
Fri, Oct 2 β’ 3:44 PM EDT
Range
Wed, Sep 2 β’ 7:35 PM EDT β
Fri, Oct 2 β’ 7:35 PM EDT
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ipo | ORG | 10 | π π 𧲠|
| ai | ORG | 6 | π π 𧲠|
| donald trump | PERSON | 6 | π π 𧲠|
| anthropic | PERSON | 5 | π π 𧲠|
| new york | GPE | 5 | π π 𧲠|
| american | NORP | 3 | π π 𧲠|
| china | GPE | 3 | π π 𧲠|
| openai | GPE | 3 | π π 𧲠|
| san francisco | GPE | 3 | π π 𧲠|
| u.s. | GPE | 3 | π π 𧲠|
| americans | NORP | 2 | π π 𧲠|
| california | GPE | 2 | π π 𧲠|
| chinese | NORP | 2 | π π 𧲠|
| claude | PRODUCT | 2 | π π 𧲠|
| cnn | ORG | 2 | π π 𧲠|
| democrats | NORP | 2 | π π 𧲠|
| elon musk | PERSON | 2 | π π 𧲠|
| facebook tweet email link threads link copied | WORK_OF_ART | 2 | π π 𧲠|
| google deepmind | ORG | 2 | π π 𧲠|
| gop | ORG | 2 | π π 𧲠|
| house | ORG | 2 | π π 𧲠|
| huang | PERSON | 2 | π π 𧲠|
| jensen huang | PERSON | 2 | π π 𧲠|
| GPE | 2 | π π 𧲠|
Whoβs talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
2 | 20.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 3.8200 | π 𧲠|
| Business, Companies | 2.2200 | π 𧲠|
| Technology | 1.8200 | π 𧲠|
| Political Theatre | 0.7800 | π 𧲠|
| Environment, Climate | 0.4900 | π 𧲠|
| Civil Unrest, Conflict | 0.4700 | π 𧲠|
| Friends and Family | 0.1500 | π 𧲠|
| Health | 0.1500 | π 𧲠|
| Other | 0.0900 | β |
Articles included
Top entities
Top sources
Top narrative frames