Text & Content Analysis

Context: entity (generative ai)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 2 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
generative ai
Window
Last 30 days
Articles
2
From
2026-03-11 12:25:45+00
To
2026-03-19 05:13:11+00
Range
2026-02-24 22:33:28.164835+00 β†’ 2026-03-26 22:33:28.164835+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
generative ai ORG 2 πŸ“Š πŸ” 🧲
adb headquarters FAC 1 πŸ“Š πŸ” 🧲
ai ORG 1 πŸ“Š πŸ” 🧲
ai for health from australia ORG 1 πŸ“Š πŸ” 🧲
ai regulation and oversight ORG 1 πŸ“Š πŸ” 🧲
ai use cases ORG 1 πŸ“Š πŸ” 🧲
akihito watabe health specialist PERSON 1 πŸ“Š πŸ” 🧲
amber nigam ORG 1 πŸ“Š πŸ” 🧲
asia LOC 1 πŸ“Š πŸ” 🧲
asian development bank ORG 1 πŸ“Š πŸ” 🧲
bangladesh GPE 1 πŸ“Š πŸ” 🧲
basysai ORG 1 πŸ“Š πŸ” 🧲
bhutan GPE 1 πŸ“Š πŸ” 🧲
cambodia GPE 1 πŸ“Š πŸ” 🧲
cerner ORG 1 πŸ“Š πŸ” 🧲
cook islands GPE 1 πŸ“Š πŸ” 🧲
digital sector ORG 1 πŸ“Š πŸ” 🧲
eli lilly ORG 1 πŸ“Š πŸ” 🧲
endorse PERSON 1 πŸ“Š πŸ” 🧲
english LANGUAGE 1 πŸ“Š πŸ” 🧲
fiji GPE 1 πŸ“Š πŸ” 🧲
harvard business review logo healthcare ORG 1 πŸ“Š πŸ” 🧲
harvard medical school ORG 1 πŸ“Š πŸ” 🧲
healthcare ORG 1 πŸ“Š πŸ” 🧲
healthcare uses specialized language ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
hbr.org 1 50.00 πŸ“Š πŸ“° 🧲
who.int 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.8000 πŸ“Š 🧲
Technology 0.4500 πŸ“Š 🧲
Business, Companies 0.4100 πŸ“Š 🧲
Health 0.2800 πŸ“Š 🧲
Environment, Climate 0.0600 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-19 05:13:11+00 Health who.int Forum on harnessing Artificial Intelligence for health equity Analyze who.int 😐 neutral 0.1073
2026-03-11 12:25:45+00 Health hbr.org Healthcare Uses Specialized Language. It Needs Specialized AI, Too. Analyze @harvardbiz 😐 neutral 0.0351