Text & Content Analysis

Context: entity (coca-cola)  |  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
coca-cola
Window
Last 24h
Articles
1
From
Fri, Oct 2 β€’ 7:26 AM EDT
To
Fri, Oct 2 β€’ 7:26 AM EDT
Range
Thu, Oct 1 β€’ 6:10 PM EDT β†’ Fri, Oct 2 β€’ 6:10 PM EDT
Who’s being talked about

Top Entities

Entity Label Mentions Actions
cnn ORG 1 πŸ“Š πŸ” 🧲
cocacola ORG 1 πŸ“Š πŸ” 🧲
earlier this year DATE 1 πŸ“Š πŸ” 🧲
mexico GPE 1 πŸ“Š πŸ” 🧲
monterrey GPE 1 πŸ“Š πŸ” 🧲
new york GPE 1 πŸ“Š πŸ” 🧲
texas GPE 1 πŸ“Š πŸ” 🧲
topo chico GPE 1 πŸ“Š πŸ” 🧲
topo chico mineral water ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.3400 πŸ“Š 🧲
Food and Beverage 0.2100 πŸ“Š 🧲
Government 0.2100 πŸ“Š 🧲
Technology 0.1400 πŸ“Š 🧲
Political Theatre 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
2026-10-02 11:26:49+00 Business cnn.com Topo Chico is finally returning to store shelves Analyze Jordan Valinsky 😐 neutral 0.0618