Text & Content Analysis

Context: entity (game 1)  |  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
game 1
Window
Last 7 days
Articles
1
From
Sat, Sep 26 β€’ 4:40 AM EDT
To
Sat, Sep 26 β€’ 4:40 AM EDT
Range
Sat, Sep 19 β€’ 8:17 PM EDT β†’ Sat, Sep 26 β€’ 8:17 PM EDT
Who’s being talked about

Top Entities

Entity Label Mentions Actions
mike onwenus PERSON 2 πŸ“Š πŸ” 🧲
63 billion MONEY 1 πŸ“Š πŸ” 🧲
amanda sabgaboston herald ORG 1 πŸ“Š πŸ” 🧲
boston GPE 1 πŸ“Š πŸ” 🧲
council ORG 1 πŸ“Š πŸ” 🧲
cubs ORG 1 πŸ“Š πŸ” 🧲
democrat NORP 1 πŸ“Š πŸ” 🧲
democrats NORP 1 πŸ“Š πŸ” 🧲
ed sheeran PERSON 1 πŸ“Š πŸ” 🧲
executive council ORG 1 πŸ“Š πŸ” 🧲
facebook share on x opens WORK_OF_ART 1 πŸ“Š πŸ” 🧲
game 1 DATE 1 πŸ“Š πŸ” 🧲
gillette ed ORG 1 πŸ“Š πŸ” 🧲
gillette massachusetts noreaster ORG 1 πŸ“Š πŸ” 🧲
house ORG 1 πŸ“Š πŸ” 🧲
howie carr PERSON 1 πŸ“Š πŸ” 🧲
lindsay clancy PERSON 1 πŸ“Š πŸ” 🧲
lindsay clancys PERSON 1 πŸ“Š πŸ” 🧲
lowell GPE 1 πŸ“Š πŸ” 🧲
massachusetts GPE 1 πŸ“Š πŸ” 🧲
maura healey PERSON 1 πŸ“Š πŸ” 🧲
medfield PERSON 1 πŸ“Š πŸ” 🧲
michell wu PERSON 1 πŸ“Š πŸ” 🧲
one CARDINAL 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.6000 πŸ“Š 🧲
Business, Companies 0.2100 πŸ“Š 🧲
Environment, Climate 0.1600 πŸ“Š 🧲
Civil Unrest, Conflict 0.0200 πŸ“Š 🧲
Entertainment 0.0100 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
2026-09-26 08:40:04+00 Politics bostonherald.com Lucas: What if politics actually worked? Analyze Peter Lucas 😐 neutral 0.1496