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
sixteen
Articles
7
From
2026-03-24 13:15:00+00
To
2026-04-20 00:00:52+00
Range
2026-03-21 19:54:05.8136+00 →
2026-04-20 19:54:05.8136+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| sixteen | DATE | 7 | 📊 🔍 🧲 |
| nebraska | GPE | 3 | 📊 🔍 🧲 |
| boston | GPE | 2 | 📊 🔍 🧲 |
| california | GPE | 2 | 📊 🔍 🧲 |
| las vegas | GPE | 2 | 📊 🔍 🧲 |
| michigan | GPE | 2 | 📊 🔍 🧲 |
| new york | GPE | 2 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| 1 million | MONEY | 1 | 📊 🔍 🧲 |
| 300 grand | MONEY | 1 | 📊 🔍 🧲 |
| about 13 | PERCENT | 1 | 📊 🔍 🧲 |
| about a year ago | DATE | 1 | 📊 🔍 🧲 |
| alexa | ORG | 1 | 📊 🔍 🧲 |
| alexa canciello | PERSON | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| anthony collandrea | PERSON | 1 | 📊 🔍 🧲 |
| ap | ORG | 1 | 📊 🔍 🧲 |
| arden | GPE | 1 | 📊 🔍 🧲 |
| article 2 | LAW | 1 | 📊 🔍 🧲 |
| arvind venkat | PERSON | 1 | 📊 🔍 🧲 |
| avoid legal accountability carly phillips research | ORG | 1 | 📊 🔍 🧲 |
| baylor | PRODUCT | 1 | 📊 🔍 🧲 |
| belmont | GPE | 1 | 📊 🔍 🧲 |
| belmont bruin | PERSON | 1 | 📊 🔍 🧲 |
| belmont bruins | PERSON | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
4 | 57.14 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 2.4100 | 📊 🧲 |
| Business, Companies | 1.8700 | 📊 🧲 |
| Environment, Climate | 1.1800 | 📊 🧲 |
| Technology | 0.5400 | 📊 🧲 |
| Friends and Family | 0.2900 | 📊 🧲 |
| Civil Unrest, Conflict | 0.2600 | 📊 🧲 |
| Health | 0.1800 | 📊 🧲 |
| Entertainment | 0.1600 | 📊 🧲 |
| Other | 0.0800 | — |
Articles included
Top entities
Top sources
Top narrative frames