Text & Content Analysis

Context: entity (crossmolina)  |  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
crossmolina
Window
Last 7 days
Articles
1
From
Tue, Sep 22 β€’ 3:10 AM EDT
To
Tue, Sep 22 β€’ 3:10 AM EDT
Range
Tue, Sep 15 β€’ 9:37 AM EDT β†’ Tue, Sep 22 β€’ 9:37 AM EDT
Who’s being talked about

Top Entities

Entity Label Mentions Actions
crossmolina ORG 1 πŸ“Š πŸ” 🧲
david mohan bbc PERSON 1 πŸ“Š πŸ” 🧲
kobe GPE 1 πŸ“Š πŸ” 🧲
st kilda PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.3800 πŸ“Š 🧲
Civil Unrest, Conflict 0.3200 πŸ“Š 🧲
Friends and Family 0.1900 πŸ“Š 🧲
Environment, Climate 0.0900 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
πŸ™‚ Positive 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-22 07:10:43+00 Sports sports.yahoo.com 'Kobe will always be welcome in Crossmolina' Analyze David Mohan - BBC Sport NI journalist πŸ™‚ positive 0.3