Text & Content Analysis

Context: entity (gu eon kang)  |  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
gu eon kang
Window
Last 7 days
Articles
1
From
2026-03-18 00:01:17+00
To
2026-03-18 00:01:17+00
Range
2026-03-11 13:17:38.503505+00 β†’ 2026-03-18 13:17:38.503505+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
advanced telecommunications research institute international ORG 1 πŸ“Š πŸ” 🧲
asia pacific LOC 1 πŸ“Š πŸ” 🧲
cctv ORG 1 πŸ“Š πŸ” 🧲
dallas GPE 1 πŸ“Š πŸ” 🧲
gu eon kang PERSON 1 πŸ“Š πŸ” 🧲
guardian ORG 1 πŸ“Š πŸ” 🧲
ian sample science PERSON 1 πŸ“Š πŸ” 🧲
japan GPE 1 πŸ“Š πŸ” 🧲
kyoto GPE 1 πŸ“Š πŸ” 🧲
kyoto emotions ORG 1 πŸ“Š πŸ” 🧲
kyoto volunteers ORG 1 πŸ“Š πŸ” 🧲
mina wakabayashi PERSON 1 πŸ“Š πŸ” 🧲
one CARDINAL 1 πŸ“Š πŸ” 🧲
royal society open science ORG 1 πŸ“Š πŸ” 🧲
science japan medical ORG 1 πŸ“Š πŸ” 🧲
share prefer PERSON 1 πŸ“Š πŸ” 🧲
share reuse PERSON 1 πŸ“Š πŸ” 🧲
texas GPE 1 πŸ“Š πŸ” 🧲
wakabayashi ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.5500 πŸ“Š 🧲
Business, Companies 0.3800 πŸ“Š 🧲
Entertainment 0.0400 πŸ“Š 🧲
Environment, Climate 0.0200 πŸ“Š 🧲
Government 0.0200 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
2026-03-18 00:01:17+00 Science theguardian.com How you walk reveals to others how you are feeling, researchers say Analyze Ian Sample 😐 neutral 0.0321