Text & Content Analysis

Context: entity (jinan university)  |  Window: 24h · 7d · 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.

Explore by Category
Politics Sports Business Technology Science Health Entertainment

Corpus KPIs

Entity
jinan university
Window
Last 30 days
Articles
1
From
2026-08-27 06:00:07+00
To
2026-08-27 06:00:07+00
Range
2026-08-15 19:51:54.937154+00 → 2026-09-14 19:51:54.937154+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
beijing GPE 1 📊 🔍 🧲
chinese NORP 1 📊 🔍 🧲
guangzhou GPE 1 📊 🔍 🧲
jinan university ORG 1 📊 🔍 🧲
science advances ORG 1 📊 🔍 🧲
smog PERSON 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
scmp.com 1 100.00 📊 📰 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.6300 📊 🧲
Technology 0.3600 📊 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 📊 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-08-27 06:00:07+00 Science scmp.com Chinese scientists discover that trees are producing ozone smog in Beijing Analyze South China Morning Post 😐 neutral 0.1395