Text & Content Analysis

Context: entity (kepler)  |  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
kepler
Window
Last 30 days
Articles
2
From
2026-04-11 20:00:05+00
To
2026-04-16 18:28:16+00
Range
2026-03-19 20:25:53.785809+00 β†’ 2026-04-18 20:25:53.785809+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.9800 πŸ“Š 🧲
Environment, Climate 0.8600 πŸ“Š 🧲
Technology 0.1000 πŸ“Š 🧲
Entertainment 0.0300 πŸ“Š 🧲
Friends and Family 0.0300 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
2026-04-16 18:28:16+00 Science popsci.com Saturn’s largest moon could see 10-foot waves from a tiny breeze Analyze Andrew Paul 😐 neutral 0.1872
2026-04-11 20:00:05+00 Science theguardian.com Brian Cox: β€˜We don’t know how powerful AI is going to become – it’s both exciting and potentially a problem’ Analyze Sian Cain 😐 neutral 0.2462