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
2026-04-08 09:00:00+00
To
2026-04-30 00:14:23+00
Range
2026-04-06 20:24:03.407903+00 β†’ 2026-05-06 20:24:03.407903+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.4300 πŸ“Š 🧲
Environment, Climate 0.6100 πŸ“Š 🧲
Business, Companies 0.5300 πŸ“Š 🧲
Technology 0.2800 πŸ“Š 🧲
Entertainment 0.1200 πŸ“Š 🧲
Food and Beverage 0.0100 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
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
2026-04-09 18:30:46+00 Business thenextweb.com Amazon’s chip business could be worth $50 billion, Jassy says, and he hints it may sell them externally Analyze Alina Maria Stan 😐 neutral 0.1348
2026-04-08 09:00:00+00 Business newsday.com What it takes to rebuild a home, business on Long Island after a fire or flood Analyze Celia Young,&nbsp;<dfn>Victor Ocasio and&nbsp; 😐 neutral 0.0451