Text & Content Analysis

Context: entity (vivek ramaswamy)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 2 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
vivek ramaswamy
Window
Last 30 days
Articles
2
From
2026-08-07 21:36:24+00
To
2026-08-08 09:00:00+00
Range
2026-07-10 01:11:24.197754+00 β†’ 2026-08-09 01:11:24.197754+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
news5cleveland.com 1 50.00 πŸ“Š πŸ“° 🧲
npr.org 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.4300 πŸ“Š 🧲
Environment, Climate 0.2700 πŸ“Š 🧲
Business, Companies 0.1300 πŸ“Š 🧲
Technology 0.1100 πŸ“Š 🧲
Political Theatre 0.0600 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-08-08 09:00:00+00 Politics npr.org Data centers are a political issue crossing party lines, driving voters to candidates Analyze Tamara Keith 😐 neutral 0.0562
2026-08-07 21:36:24+00 Politics news5cleveland.com All candidates for Ohio governor have this in common Analyze Morgan Trau 😐 neutral 0.0869