Text & Content Analysis

Context: entity (liberal democrats)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 4 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
liberal democrats
Window
Last 30 days
Articles
4
From
2026-04-02 07:19:12+00
To
2026-04-23 06:00:02+00
Range
2026-03-31 21:46:00.100185+00 β†’ 2026-04-30 21:46:00.100185+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.7400 πŸ“Š 🧲
Civil Unrest, Conflict 1.0900 πŸ“Š 🧲
Business, Companies 0.5000 πŸ“Š 🧲
Environment, Climate 0.4400 πŸ“Š 🧲
Political Theatre 0.1100 πŸ“Š 🧲
Friends and Family 0.0500 πŸ“Š 🧲
Food and Beverage 0.0300 πŸ“Š 🧲
Technology 0.0100 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 4 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-04-23 06:00:02+00 Politics theguardian.com Mapped: the elections that could deliver β€˜unprecedented’ losses for Labour Analyze Alex Clark,Ashley Kirk 😐 neutral 0.04
2026-04-21 05:12:32+00 Politics bbc.com Can peace descend in Oldham's 'toxic' politics? Analyze bbc.com 😐 neutral 0.0662
2026-04-10 09:07:59+00 Politics theconversation.com May elections: what five politics experts are looking out for Analyze Murray Leith 😐 neutral 0.1124
2026-04-02 07:19:12+00 Business bbc.com Tories pledges to fully scrap carbon taxes on business Analyze bbc.com 😐 neutral 0.0381