Text & Content Analysis

Context: entity (leer)  |  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
leer
Window
Last 30 days
Articles
1
From
2026-05-21 12:05:33+00
To
2026-05-21 12:05:33+00
Range
2026-05-12 23:41:40.645315+00 β†’ 2026-06-11 23:41:40.645315+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
donna henrike bohrer PERSON 1 πŸ“Š πŸ” 🧲
harvard business review ORG 1 πŸ“Š πŸ” 🧲
joakim wincent PERSON 1 πŸ“Š πŸ” 🧲
karolin frankenberger PERSON 1 πŸ“Š πŸ” 🧲
leer PERSON 1 πŸ“Š πŸ” 🧲
ler PERSON 1 πŸ“Š πŸ” 🧲
phd WORK_OF_ART 1 πŸ“Š πŸ” 🧲
post post share save print ORG 1 πŸ“Š πŸ” 🧲
post post share save print read ORG 1 πŸ“Š πŸ” 🧲
quality ORG 1 πŸ“Š πŸ” 🧲
switzerland GPE 1 πŸ“Š πŸ” 🧲
the business model navigator WORK_OF_ART 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.4700 πŸ“Š 🧲
Government 0.3600 πŸ“Š 🧲
Food and Beverage 0.0800 πŸ“Š 🧲
Business, Companies 0.0800 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
2026-05-21 12:05:33+00 Business hbr.org What Customer Workarounds Can Reveal About Your Business Model Analyze @harvardbiz 😐 neutral 0.1806