Text & Content Analysis

Context: entity (neyland)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 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
neyland
Window
Last 7 days
Articles
1
From
2026-04-06 09:02:02+00
To
2026-04-06 09:02:02+00
Range
2026-04-05 12:34:37.950986+00 β†’ 2026-04-12 12:34:37.950986+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
allie feinberg knoxville PERSON 1 πŸ“Š πŸ” 🧲
election day DATE 1 πŸ“Š πŸ” 🧲
key LOC 1 πŸ“Š πŸ” 🧲
knox county GPE 1 πŸ“Š πŸ” 🧲
neyland ORG 1 πŸ“Š πŸ” 🧲
neyland stadium FAC 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
knoxnews.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.9000 πŸ“Š 🧲
Environment, Climate 0.0900 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-04-06 09:02:02+00 Politics knoxnews.com Here are 4 times when 25 people (or fewer!) decided a Knox County election Analyze , Knoxville News Sentinel 😐 neutral 0.1424