Text & Content Analysis

Context: entity (jasper)  |  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
jasper
Window
Last 30 days
Articles
2
From
2026-04-13 05:20:37+00
To
2026-04-28 22:37:00+00
Range
2026-04-08 04:41:38.035409+00 β†’ 2026-05-08 04:41:38.035409+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.7500 πŸ“Š 🧲
Business, Companies 0.7200 πŸ“Š 🧲
Civil Unrest, Conflict 0.3000 πŸ“Š 🧲
Friends and Family 0.1700 πŸ“Š 🧲
Environment, Climate 0.0300 πŸ“Š 🧲
Political Theatre 0.0200 πŸ“Š 🧲
Technology 0.0100 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
2026-04-28 22:37:00+00 Business wthr.com 'It's going to make a big difference' | Braun announces new program to help Indiana businesses use AI Analyze Emily Longnecker 😐 neutral 0.0931
2026-04-13 05:20:37+00 Politics bbc.com How is online abuse putting young people off Manx politics? Analyze bbc.com 😐 neutral 0.0487