Text & Content Analysis

Context: entity (alphabet)  |  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
alphabet
Window
Last 30 days
Articles
3
From
2026-05-25 12:34:24+00
To
2026-06-02 06:49:41+00
Range
2026-05-11 01:17:47.019235+00 β†’ 2026-06-10 01:17:47.019235+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.5500 πŸ“Š 🧲
Business, Companies 0.7000 πŸ“Š 🧲
Environment, Climate 0.4400 πŸ“Š 🧲
Friends and Family 0.1100 πŸ“Š 🧲
Political Theatre 0.0900 πŸ“Š 🧲
Technology 0.0600 πŸ“Š 🧲
Civil Unrest, Conflict 0.0300 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
2026-06-02 06:49:41+00 Business theguardian.com Alphabet to raise $80bn from share sales to fund AI spending splurge Analyze https://www.theguardian.com/profile/graemewearden 😐 neutral 0.23
2026-06-01 15:18:36+00 Business businessreport.com Roundup: Harvard Business School / Nvidia / Benny’s Analyze Daily Report Staff 😐 neutral 0.2207
2026-05-25 12:34:24+00 Science 247wallst.com Trump's Science Advisor Calls Nuclear EO 'Most Consequential Day' Since Atoms for Peace in 1953 Analyze Joel South 😐 neutral 0.0356