Text & Content Analysis

Context: entity (lane)  |  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
lane
Window
Last 30 days
Articles
2
From
2026-09-16 04:03:12+00
To
2026-09-19 00:23:35+00
Range
2026-08-20 11:36:01.682292+00 β†’ 2026-09-19 11:36:01.682292+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.7400 πŸ“Š 🧲
Government 0.4500 πŸ“Š 🧲
Environment, Climate 0.4000 πŸ“Š 🧲
Civil Unrest, Conflict 0.1100 πŸ“Š 🧲
Political Theatre 0.0900 πŸ“Š 🧲
Technology 0.0800 πŸ“Š 🧲
Food and Beverage 0.0500 πŸ“Š 🧲
Entertainment 0.0400 πŸ“Š 🧲
Other 0.0300 β€”
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
2026-09-19 00:23:35+00 Business wlbt.com Big game, big business: Central Mississippi feels Ole Miss-LSU impact Analyze Courtney Ann Jackson 😐 neutral 0.1518
2026-09-16 04:03:12+00 Business wral.com US-Canada trade war further taxes small businesses as costs rise during the Iran war Analyze MAE ANDERSON β€” AP Business Writer 😐 neutral 0.0203