Text & Content Analysis

Context: entity (chicago park district loyola)  |  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
chicago park district loyola
Window
Last 30 days
Articles
1
From
2026-03-17 20:48:30+00
To
2026-03-17 20:48:30+00
Range
2026-02-24 19:51:57.509432+00 β†’ 2026-03-26 19:51:57.509432+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
democrats NORP 2 πŸ“Š πŸ” 🧲
bria suggs PERSON 1 πŸ“Š πŸ” 🧲
casey morell PERSON 1 πŸ“Š πŸ” 🧲
chicago GPE 1 πŸ“Š πŸ” 🧲
chicago park district loyola FAC 1 πŸ“Š πŸ” 🧲
domenico montanaro PERSON 1 πŸ“Š πŸ” 🧲
download embed embed FAC 1 πŸ“Š πŸ” 🧲
election day DATE 1 πŸ“Š πŸ” 🧲
elena moore PERSON 1 πŸ“Š πŸ” 🧲
house ORG 1 πŸ“Š πŸ” 🧲
illinois GPE 1 πŸ“Š πŸ” 🧲
jan schakowsky PERSON 1 πŸ“Š πŸ” 🧲
listen PRODUCT 1 πŸ“Š πŸ” 🧲
muthoni muturi PERSON 1 πŸ“Š πŸ” 🧲
nam y huhap PERSON 1 πŸ“Š πŸ” 🧲
npr app apple podcasts spotify amazon music iheart radio youtube music ORG 1 πŸ“Š πŸ” 🧲
npr politics ORG 1 πŸ“Š πŸ” 🧲
rachel baye PERSON 1 πŸ“Š πŸ” 🧲
tamara keith PERSON 1 πŸ“Š πŸ” 🧲
the npr politics podcast ORG 1 πŸ“Š πŸ” 🧲
white house ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.3500 πŸ“Š 🧲
Entertainment 0.2700 πŸ“Š 🧲
Political Theatre 0.1800 πŸ“Š 🧲
Business, Companies 0.1100 πŸ“Š 🧲
Civil Unrest, Conflict 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
2026-03-17 20:48:30+00 Politics npr.org The race for a safe Democratic House seat offers clues about the party’s future Analyze Tamara Keith 😐 neutral 0.1857