Text & Content Analysis

Context: entity (ticketmaster)  |  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
ticketmaster
Window
Last 30 days
Articles
3
From
2026-05-15 01:03:15+00
To
2026-06-03 10:30:08+00
Range
2026-05-11 02:48:40.20351+00 β†’ 2026-06-10 02:48:40.20351+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.3000 πŸ“Š 🧲
Business, Companies 0.8300 πŸ“Š 🧲
Environment, Climate 0.6400 πŸ“Š 🧲
Technology 0.1400 πŸ“Š 🧲
Civil Unrest, Conflict 0.0300 πŸ“Š 🧲
Entertainment 0.0200 πŸ“Š 🧲
Political Theatre 0.0200 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
2026-06-03 10:30:08+00 Business cnn.com NBA Finals: Would you pay $4,000 – for a nosebleed seat? Analyze Matt Egan 😐 neutral 0.041
2026-05-24 15:25:00+00 Politics kcra.com California Attorney General Rob Bonta on federal lawsuits, elections and e-bikes Analyze Ashley Zavala 😐 neutral 0.1521
2026-05-15 01:03:15+00 Sports sports.yahoo.com NFL schedule: Social media videos for all 32 teams Analyze Yahoo Sports Staff 😐 neutral 0.1006