Text & Content Analysis

Context: entity (uber)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
uber
Window
Last 30 days
Articles
3
From
2026-04-30 00:14:23+00
To
2026-05-18 15:52:59+00
Range
2026-04-22 19:23:00.249726+00 β†’ 2026-05-22 19:23:00.249726+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.1500 πŸ“Š 🧲
Business, Companies 0.6500 πŸ“Š 🧲
Environment, Climate 0.4900 πŸ“Š 🧲
Technology 0.4100 πŸ“Š 🧲
Food and Beverage 0.1600 πŸ“Š 🧲
Civil Unrest, Conflict 0.0600 πŸ“Š 🧲
Entertainment 0.0500 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 πŸ“Š 🧲
πŸ™‚ Positive 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-05-18 15:52:59+00 Business newsday.com Station Yards eateries hit with drop in business amid LIRR strike Analyze Melissa Azofeifa 😐 neutral 0.1432
2026-05-06 21:26:00+00 Business chicagobusiness.com Now we know what Uber paid to buy Chicago’s SpotHero Analyze chicagobusiness.com πŸ™‚ positive 0.34
2026-04-30 00:14:23+00 Business techcrunch.com Amazon's cloud business is surging β€” and so is its capital spending Analyze Lucas Ropek 😐 neutral 0.1364