Text & Content Analysis

Context: entity (tibbott)  |  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
tibbott
Window
Last 30 days
Articles
1
From
2026-03-31 16:14:56+00
To
2026-03-31 16:14:56+00
Range
2026-03-02 20:42:23.170239+00 → 2026-04-01 20:42:23.170239+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
cdt ORG 1 📊 🔍 🧲
google add FAC 1 📊 🔍 🧲
google science city educator ORG 1 📊 🔍 🧲
kctv PERSON 1 📊 🔍 🧲
kerrigan GPE 1 📊 🔍 🧲
shane PERSON 1 📊 🔍 🧲
the conversation comments ORG 1 📊 🔍 🧲
tibbott GPE 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
kctv5.com 1 100.00 📊 📰 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.5600 📊 🧲
Government 0.2600 📊 🧲
Environment, Climate 0.1600 📊 🧲
How it feels

Sentiment

Label Articles Actions
🙂 Positive 1 📊 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-31 16:14:56+00 Science kctv5.com Experience the Amazing World of Science Analyze KCTV5 Staff 🙂 positive 0.6333