Text & Content Analysis

Context: entity (mac apps)  |  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
mac apps
Window
Last 7 days
Articles
1
From
2026-08-13 13:30:43+00
To
2026-08-13 13:30:43+00
Range
2026-08-06 22:09:12.337566+00 β†’ 2026-08-13 22:09:12.337566+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
chatgpt copilot enterprise LAW 1 πŸ“Š πŸ” 🧲
530 CARDINAL 1 πŸ“Š πŸ” 🧲
ai ORG 1 πŸ“Š πŸ” 🧲
amazon ORG 1 πŸ“Š πŸ” 🧲
andreou NORP 1 πŸ“Š πŸ” 🧲
autopilot ORG 1 πŸ“Š πŸ” 🧲
breaking news alerts important EVENT 1 πŸ“Š πŸ” 🧲
claude PERSON 1 πŸ“Š πŸ” 🧲
copilot GPE 1 πŸ“Š πŸ” 🧲
copilot podcasts ORG 1 πŸ“Š πŸ” 🧲
deep research ORG 1 πŸ“Š πŸ” 🧲
deepmind PRODUCT 1 πŸ“Š πŸ” 🧲
family PRODUCT 1 πŸ“Š πŸ” 🧲
geekwire PRODUCT 1 πŸ“Š πŸ” 🧲
geekwire file photo ORG 1 πŸ“Š πŸ” 🧲
geekwire partner content ORG 1 πŸ“Š πŸ” 🧲
geekwire startups news WORK_OF_ART 1 πŸ“Š πŸ” 🧲
gemini GPE 1 πŸ“Š πŸ” 🧲
group chat ORG 1 πŸ“Š πŸ” 🧲
health ORG 1 πŸ“Š πŸ” 🧲
information ORG 1 πŸ“Š πŸ” 🧲
jacob andreou PERSON 1 πŸ“Š πŸ” 🧲
kevin lisota PERSON 1 πŸ“Š πŸ” 🧲
linkedin email PERSON 1 πŸ“Š πŸ” 🧲
mac apps PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.4500 πŸ“Š 🧲
Government 0.2900 πŸ“Š 🧲
Technology 0.1900 πŸ“Š 🧲
Environment, Climate 0.0600 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
2026-08-13 13:30:43+00 Business geekwire.com Microsoft starts merging its Copilot consumer and business apps in advance of β€˜Super App’ rollout Analyze Todd Bishop 😐 neutral 0.1134