Text & Content Analysis

Context: entity (npr politics podcast)  |  Window: 24h · 7d · 30d  |  Corpus: 1 articles

This page analyzes how a selected entity or topic appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.

Corpus KPIs

Entity
npr politics podcast
Window
Last 30 days
Articles
1
From
2026-01-18 08:05:02+00
To
2026-01-18 08:05:02+00
Range
2026-01-11 15:20:11.604579+00 → 2026-02-10 15:20:11.604579+00
Who’s being talked about

Top Entities

Entity Label Articles Actions
democrats NORP 2 📊 🔍 🧲
apple podcasts ORG 1 📊 🔍 🧲
deepa PERSON 1 📊 🔍 🧲
deepa shivaram ORG 1 📊 🔍 🧲
don PERSON 1 📊 🔍 🧲
don gonyea PERSON 1 📊 🔍 🧲
donald trump PERSON 1 📊 🔍 🧲
joe biden PERSON 1 📊 🔍 🧲
kamala harris PERSON 1 📊 🔍 🧲
npr app apple podcasts spotify amazon music iheart radio youtube music ORG 1 📊 🔍 🧲
npr politics podcast ORG 1 📊 🔍 🧲
politics january 18 2026 DATE 1 📊 🔍 🧲
two CARDINAL 1 📊 🔍 🧲
white house ORG 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
npr.org 1 100.00 📊 📰 🧲
What’s being discussed

Top Topics

Topic Weight Actions
Political Theatre 0.3000 📊 🧲
Government 0.2400 📊 🧲
Entertainment 0.2300 📊 🧲
Business, Companies 0.2200 📊 🧲
How it feels

Sentiment

Label Articles Actions
🙂 Positive 1 📊 🧲

Articles included

Pub Date Category Domain Title Analyze Author Sent Score
2026-01-18 08:05:02+00 Politics npr.org Two presidential elections, two seismic shifts... (Politics+) : The NPR Politics Podcast Analyze NPR 🙂 positive 0.1625