Text & Content Analysis

Context: entity (a quarter)  |  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
a quarter
Window
Last 7 days
Articles
1
From
2026-05-01 04:03:00+00
To
2026-05-01 04:03:00+00
Range
2026-04-26 06:10:42.458824+00 β†’ 2026-05-03 06:10:42.458824+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
53 trillion MONEY 1 πŸ“Š πŸ” 🧲
a quarter CARDINAL 1 πŸ“Š πŸ” 🧲
amazon ORG 1 πŸ“Š πŸ” 🧲
andrew dannenberg PERSON 1 πŸ“Š πŸ” 🧲
april 30 2026 car DATE 1 πŸ“Š πŸ” 🧲
april 30 2026 safety thursdays DATE 1 πŸ“Š πŸ” 🧲
apta LOC 1 πŸ“Š πŸ” 🧲
blake aued PERSON 1 πŸ“Š πŸ” 🧲
boston GPE 1 πŸ“Š πŸ” 🧲
boston university ORG 1 πŸ“Š πŸ” 🧲
callais ORG 1 πŸ“Š πŸ” 🧲
danneberg PERSON 1 πŸ“Š πŸ” 🧲
dannenberg PERSON 1 πŸ“Š πŸ” 🧲
dennis markatossoriano PERSON 1 πŸ“Š πŸ” 🧲
dona ana county PERSON 1 πŸ“Š πŸ” 🧲
email PERSON 1 πŸ“Š πŸ” 🧲
email share WORK_OF_ART 1 πŸ“Š πŸ” 🧲
empathy PERSON 1 πŸ“Š πŸ” 🧲
facebook share on x twitter share on reddit share WORK_OF_ART 1 πŸ“Š πŸ” 🧲
first ORDINAL 1 πŸ“Š πŸ” 🧲
forgot PERSON 1 πŸ“Š πŸ” 🧲
friday video DATE 1 πŸ“Š πŸ” 🧲
harvard ORG 1 πŸ“Š πŸ” 🧲
jack guan PERSON 1 πŸ“Š πŸ” 🧲
jeff wood PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
usa.streetsblog.org 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Technology 0.6100 πŸ“Š 🧲
Government 0.3200 πŸ“Š 🧲
Business, Companies 0.0700 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
2026-05-01 04:03:00+00 Health usa.streetsblog.org Good Public Transit + Good Public Funding = Good Public Health Analyze Jack Guan 😐 neutral 0.1905