Text & Content Analysis

Context: entity (officers)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 articles

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.

Corpus KPIs

Entity
officers
Window
Last 7 days
Articles
1
From
2026-09-11 04:06:37+00
To
2026-09-11 04:06:37+00
Range
2026-09-05 11:19:15.230235+00 β†’ 2026-09-12 11:19:15.230235+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
abby PERSON 1 πŸ“Š πŸ” 🧲
alameda county GPE 1 πŸ“Š πŸ” 🧲
amateur ORG 1 πŸ“Š πŸ” 🧲
around 435 am TIME 1 πŸ“Š πŸ” 🧲
at least 18 CARDINAL 1 πŸ“Š πŸ” 🧲
bay area news group ORG 1 πŸ“Š πŸ” 🧲
bluesky print PERSON 1 πŸ“Š πŸ” 🧲
california GPE 1 πŸ“Š πŸ” 🧲
east bay LOC 1 πŸ“Š πŸ” 🧲
elizabeth holmes PERSON 1 πŸ“Š πŸ” 🧲
email share PERSON 1 πŸ“Š πŸ” 🧲
facebook share on bluesky opens WORK_OF_ART 1 πŸ“Š πŸ” 🧲
harriette cole PERSON 1 πŸ“Š πŸ” 🧲
highway 84 FAC 1 πŸ“Š πŸ” 🧲
jason green PERSON 1 πŸ“Š πŸ” 🧲
list national merit scholarship WORK_OF_ART 1 πŸ“Š πŸ” 🧲
milpitas medical ORG 1 πŸ“Š πŸ” 🧲
milpitas woman PERSON 1 πŸ“Š πŸ” 🧲
mission plaza GPE 1 πŸ“Š πŸ” 🧲
nathan fielder PERSON 1 πŸ“Š πŸ” 🧲
netflix ORG 1 πŸ“Š πŸ” 🧲
oakland GPE 1 πŸ“Š πŸ” 🧲
officers PRODUCT 1 πŸ“Š πŸ” 🧲
opens ORG 1 πŸ“Š πŸ” 🧲
pdt getting ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
mercurynews.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Technology 0.3200 πŸ“Š 🧲
Civil Unrest, Conflict 0.2700 πŸ“Š 🧲
Business, Companies 0.2500 πŸ“Š 🧲
Environment, Climate 0.0500 πŸ“Š 🧲
Government 0.0400 πŸ“Š 🧲
Friends and Family 0.0400 πŸ“Š 🧲
Entertainment 0.0200 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-11 04:06:37+00 Business mercurynews.com At least 18 Pleasanton businesses hit in morning burglary spree Analyze Jason Green 😐 neutral 0.0959