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
et hear
Articles
30
From
2026-06-30 20:34:25+00
To
2026-07-29 13:28:51+00
Range
2026-06-30 04:51:57.935278+00 β
2026-07-30 04:51:57.935278+00
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| et hear | PERSON | 30 | π π 𧲠|
| republicans | NORP | 18 | π π 𧲠|
| democrats | NORP | 15 | π π 𧲠|
| featured weekly ad | WORK_OF_ART | 13 | π π 𧲠|
| donald trump | PERSON | 12 | π π 𧲠|
| u.s. | GPE | 10 | π π 𧲠|
| michigan | GPE | 8 | π π 𧲠|
| new york | GPE | 7 | π π 𧲠|
| usa today | ORG | 7 | π π 𧲠|
| americans | NORP | 6 | π π 𧲠|
| senate | ORG | 6 | π π 𧲠|
| american | NORP | 5 | π π 𧲠|
| barack obama | PERSON | 5 | π π 𧲠|
| view comments | WORK_OF_ART | 5 | π π 𧲠|
| abdul elsayed | PERSON | 4 | π π 𧲠|
| america | GPE | 4 | π π 𧲠|
| congress | ORG | 4 | π π 𧲠|
| democrat | NORP | 4 | π π 𧲠|
| detroit | GPE | 4 | π π 𧲠|
| detroit news | ORG | 4 | π π 𧲠|
| fda | ORG | 4 | π π 𧲠|
| haley stevens | PERSON | 4 | π π 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 8.9200 | π 𧲠|
| Technology | 5.8800 | π 𧲠|
| Health | 4.1000 | π 𧲠|
| Business, Companies | 3.7800 | π 𧲠|
| Environment, Climate | 2.0800 | π 𧲠|
| Food and Beverage | 1.5000 | π 𧲠|
| Civil Unrest, Conflict | 1.3400 | π 𧲠|
| Political Theatre | 1.3200 | π 𧲠|
| Other | 1.0000 | β |
Articles included
Top entities
Top sources
Top narrative frames