Text & Content Analysis
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
Corpus KPIs
Entity
new delhi
Articles
2
From
2026-07-18 02:04:29+00
To
2026-07-22 06:26:22+00
Range
2026-06-26 03:57:33.807946+00 →
2026-07-26 03:57:33.807946+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| india | GPE | 2 | 📊 🔍 🧲 |
| indian | NORP | 2 | 📊 🔍 🧲 |
| new delhi | GPE | 2 | 📊 🔍 🧲 |
| 26 billion | MONEY | 1 | 📊 🔍 🧲 |
| abhijeet dipke | PERSON | 1 | 📊 🔍 🧲 |
| about 150 | CARDINAL | 1 | 📊 🔍 🧲 |
| agra | PERSON | 1 | 📊 🔍 🧲 |
| agtech | ORG | 1 | 📊 🔍 🧲 |
| ai revolution must include main street | EVENT | 1 | 📊 🔍 🧲 |
| am related | GPE | 1 | 📊 🔍 🧲 |
| america | GPE | 1 | 📊 🔍 🧲 |
| anger | ORG | 1 | 📊 🔍 🧲 |
| bengaluru | GPE | 1 | 📊 🔍 🧲 |
| bjp | ORG | 1 | 📊 🔍 🧲 |
| boston university | ORG | 1 | 📊 🔍 🧲 |
| california | GPE | 1 | 📊 🔍 🧲 |
| capitol broadcasting company | ORG | 1 | 📊 🔍 🧲 |
| cary | GPE | 1 | 📊 🔍 🧲 |
| cjp | ORG | 1 | 📊 🔍 🧲 |
| cnn | ORG | 1 | 📊 🔍 🧲 |
| delhi | GPE | 1 | 📊 🔍 🧲 |
| dharmendra pradhan | PERSON | 1 | 📊 🔍 🧲 |
| earlier this week | DATE | 1 | 📊 🔍 🧲 |
| east | LOC | 1 | 📊 🔍 🧲 |
| facebook tweet email link threads link copied | WORK_OF_ART | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-07-22 06:26:22+00 | Politics |
|
Why political fury is boiling over on the streets on India’s capital | Analyze | Rhea Mogul | 😐 neutral | 0.0521 |
| 2026-07-18 02:04:29+00 | Science |
|
High impact, high science: How First Flight is building North Carolina’s innovation future | Analyze | Steve Rao, WRAL TechWire contributor | 😐 neutral | 0.1775 |