Text & Content Analysis

Context: entity (netflix)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 2 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
netflix
Window
Last 24h
Articles
2
From
2026-04-29 04:24:12+00
To
2026-04-29 06:58:00+00
Range
2026-04-28 12:03:03.045201+00 β†’ 2026-04-29 12:03:03.045201+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
fortune.com 1 50.00 πŸ“Š πŸ“° 🧲
nypost.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.8100 πŸ“Š 🧲
Business, Companies 0.4300 πŸ“Š 🧲
Environment, Climate 0.3500 πŸ“Š 🧲
Entertainment 0.1600 πŸ“Š 🧲
Technology 0.1300 πŸ“Š 🧲
Civil Unrest, Conflict 0.1000 πŸ“Š 🧲
Friends and Family 0.0200 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-04-29 06:58:00+00 Business fortune.com AWS CEO Matt Garman sees huge business opportunity for Amazon in AI-powered software: β€˜Everything is going to be remade’ Analyze Alexei Oreskovic 😐 neutral 0.1936
2026-04-29 04:24:12+00 Business nypost.com Quixote to lay off 70 staffers, wind down most of its sound stage business in another blow to Hollywood Analyze Daniel Farr 😐 neutral 0.033