Text & Content Analysis

Context: entity (days later)  |  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
days later
Window
Last 30 days
Articles
2
From
2026-04-13 02:26:41+00
To
2026-05-01 21:30:00+00
Range
2026-04-03 22:02:24.836831+00 β†’ 2026-05-03 22:02:24.836831+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 1.0000 πŸ“Š 🧲
Civil Unrest, Conflict 0.2500 πŸ“Š 🧲
Friends and Family 0.1800 πŸ“Š 🧲
Environment, Climate 0.1700 πŸ“Š 🧲
Technology 0.1500 πŸ“Š 🧲
Business, Companies 0.1400 πŸ“Š 🧲
Political Theatre 0.0900 πŸ“Š 🧲
Food and Beverage 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
2026-05-01 21:30:00+00 Politics ctmirror.org Shutdown ends, SNAP benefits, AI small business bill: CT politics news Analyze CT Mirror Staff 😐 neutral 0.1103
2026-04-13 02:26:41+00 Politics cnn.com Zohran Mamdani celebrates β€˜pothole politics’ in a raucous rally marking 100 days as NYC mayor Analyze Gloria Pazmino 😐 neutral 0.0506