Text & Content Analysis

Context: entity (apta)  |  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
apta
Window
Last 24h
Articles
1
From
2026-05-01 04:03:00+00
To
2026-05-01 04:03:00+00
Range
2026-04-30 17:47:30.017804+00 β†’ 2026-05-01 17:47:30.017804+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