Text & Content Analysis

Context: pub (wvlt.tv)  |  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

Publisher
wvlt.tv
Window
Last 30 days
Articles
2
From
2026-07-03 20:39:52+00
To
2026-07-11 03:17:34+00
Range
2026-06-30 01:34:37.5927+00 β†’ 2026-07-30 01:34:37.5927+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
wvlt.tv 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.8800 πŸ“Š 🧲
Business, Companies 0.5000 πŸ“Š 🧲
Technology 0.2400 πŸ“Š 🧲
Government 0.1900 πŸ“Š 🧲
Civil Unrest, Conflict 0.1000 πŸ“Š 🧲
Entertainment 0.0700 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
2026-07-11 03:17:34+00 Business wvlt.tv Alcoa business growth along Tesla Boulevard draws more restaurants, retailers to former industrial site Analyze Jared Austin 😐 neutral 0.1544
2026-07-03 20:39:52+00 Science wvlt.tv Firework chemistry: the science behind firework colors Analyze Belle Oliver 😐 neutral 0.2116