Text & Content Analysis

Context: entity (silicon valley)  |  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
silicon valley
Window
Last 7 days
Articles
2
From
Wed, Sep 30 β€’ 5:32 PM EDT
To
Wed, Sep 30 β€’ 10:10 PM EDT
Range
Thu, Sep 24 β€’ 6:02 PM EDT β†’ Thu, Oct 1 β€’ 6:02 PM EDT
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 1.0600 πŸ“Š 🧲
Political Theatre 0.3800 πŸ“Š 🧲
Business, Companies 0.3100 πŸ“Š 🧲
Entertainment 0.1500 πŸ“Š 🧲
Technology 0.0500 πŸ“Š 🧲
Environment, Climate 0.0300 πŸ“Š 🧲
Friends and Family 0.0200 πŸ“Š 🧲
Civil Unrest, Conflict 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
2026-10-01 02:10:29+00 Politics cnn.com Takeaways from CNN’s California governor debate Analyze Eric Bradner,Patrick Svitek 😐 neutral 0.0539
2026-09-30 21:32:43+00 Politics nbcnews.com A California showdown with national implications: From the Politics Desk Analyze The Politics Desk 😐 neutral 0.09