Text & Content Analysis

Context: entity (bejan)  |  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
bejan
Window
Last 30 days
Articles
1
From
2026-04-06 23:31:00+00
To
2026-04-06 23:31:00+00
Range
2026-03-10 03:55:28.752685+00 β†’ 2026-04-09 03:55:28.752685+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
ai ORG 1 πŸ“Š πŸ” 🧲
basel GPE 1 πŸ“Š πŸ” 🧲
bejan PERSON 1 πŸ“Š πŸ” 🧲
biomedical informatics ORG 1 πŸ“Š πŸ” 🧲
cosmin bejan PERSON 1 πŸ“Š πŸ” 🧲
douglas johnson PERSON 1 πŸ“Š πŸ” 🧲
elizabeth phillips PERSON 1 πŸ“Š πŸ” 🧲
eric mukherjee PERSON 1 πŸ“Š πŸ” 🧲
f1 PRODUCT 1 πŸ“Š πŸ” 🧲
facebook share on bsky share on x share on linkedin share WORK_OF_ART 1 πŸ“Š πŸ” 🧲
gpt4 PERSON 1 πŸ“Š πŸ” 🧲
justin balko PERSON 1 πŸ“Š πŸ” 🧲
llm ORG 1 πŸ“Š πŸ” 🧲
matthew krantz PERSON 1 πŸ“Š πŸ” 🧲
md GPE 1 πŸ“Š πŸ” 🧲
msci PERSON 1 πŸ“Š πŸ” 🧲
mukherjee PERSON 1 πŸ“Š πŸ” 🧲
open ai FAC 1 πŸ“Š πŸ” 🧲
paul govern cosmin bejan PERSON 1 πŸ“Š πŸ” 🧲
phd WORK_OF_ART 1 πŸ“Š πŸ” 🧲
phd drug ORG 1 πŸ“Š πŸ” 🧲
phillips ORG 1 πŸ“Š πŸ” 🧲
r01hl156021 ORG 1 πŸ“Š πŸ” 🧲
roche ORG 1 πŸ“Š πŸ” 🧲
san francisco GPE 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.7100 πŸ“Š 🧲
Business, Companies 0.1400 πŸ“Š 🧲
Government 0.0800 πŸ“Š 🧲
Health 0.0700 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
2026-04-06 23:31:00+00 Health news.vumc.org AI finds drug safety signals in clinical notes Analyze Paul Govern 😐 neutral 0.0724