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
boston university
Articles
6
From
2026-07-28 17:18:49+00
To
2026-08-17 12:36:45+00
Range
2026-07-24 01:27:40.368279+00 →
2026-08-23 01:27:40.368279+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| boston university | ORG | 6 | 📊 🔍 🧲 |
| new york | GPE | 4 | 📊 🔍 🧲 |
| u.s. | GPE | 4 | 📊 🔍 🧲 |
| america | GPE | 3 | 📊 🔍 🧲 |
| american | NORP | 3 | 📊 🔍 🧲 |
| asia | LOC | 3 | 📊 🔍 🧲 |
| beijing | GPE | 3 | 📊 🔍 🧲 |
| birth | PERSON | 3 | 📊 🔍 🧲 |
| china | GPE | 3 | 📊 🔍 🧲 |
| cohen | PERSON | 3 | 📊 🔍 🧲 |
| daylight saving | WORK_OF_ART | 3 | 📊 🔍 🧲 |
| earth | LOC | 3 | 📊 🔍 🧲 |
| elizabeth cohen | PERSON | 3 | 📊 🔍 🧲 |
| england | GPE | 3 | 📊 🔍 🧲 |
| george mason university | ORG | 3 | 📊 🔍 🧲 |
| greenwich | GPE | 3 | 📊 🔍 🧲 |
| israel | GPE | 3 | 📊 🔍 🧲 |
| kevin birth | PERSON | 3 | 📊 🔍 🧲 |
| michael omalley | PERSON | 3 | 📊 🔍 🧲 |
| queens college | ORG | 3 | 📊 🔍 🧲 |
| senate | ORG | 3 | 📊 🔍 🧲 |
| thailand | GPE | 3 | 📊 🔍 🧲 |
| the american railway association | ORG | 3 | 📊 🔍 🧲 |
| time | ORG | 3 | 📊 🔍 🧲 |
| ap | ORG | 2 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 1.5900 | 📊 🧲 |
| Environment, Climate | 1.1500 | 📊 🧲 |
| Government | 1.0400 | 📊 🧲 |
| Technology | 0.9600 | 📊 🧲 |
| Friends and Family | 0.6700 | 📊 🧲 |
| Civil Unrest, Conflict | 0.3700 | 📊 🧲 |
| Political Theatre | 0.1500 | 📊 🧲 |
| Food and Beverage | 0.0200 | 📊 🧲 |
| Other | 0.0100 | — |
Articles included
Top entities
Top sources
Top narrative frames