Text & Content Analysis

Context: entity (susan abookire)  |  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
susan abookire
Window
Last 30 days
Articles
1
From
2026-05-25 20:09:00+00
To
2026-05-25 20:09:00+00
Range
2026-05-03 17:29:03.374045+00 β†’ 2026-06-02 17:29:03.374045+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
abukayer PERSON 1 πŸ“Š πŸ” 🧲
google add preferred source ORG 1 πŸ“Š πŸ” 🧲
hourly daily ORG 1 πŸ“Š πŸ” 🧲
japan GPE 1 πŸ“Š πŸ” 🧲
japanese NORP 1 πŸ“Š πŸ” 🧲
mass general brigham ORG 1 πŸ“Š πŸ” 🧲
mass general brighams ORG 1 πŸ“Š πŸ” 🧲
susan abookire PERSON 1 πŸ“Š πŸ” 🧲
susan abukayer PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.3100 πŸ“Š 🧲
Environment, Climate 0.3000 πŸ“Š 🧲
Technology 0.2700 πŸ“Š 🧲
Government 0.0600 πŸ“Š 🧲
Health 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
2026-05-25 20:09:00+00 Health wcvb.com What is forest bathing? Why it may help your health Analyze Jessica Brown 😐 neutral 0.1203