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
ct
Articles
11
From
2026-08-17 15:26:11+00
To
2026-09-13 17:35:28+00
Range
2026-08-15 22:40:16.700483+00 →
2026-09-14 22:40:16.700483+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ct | PERSON | 11 | 📊 🔍 🧲 |
| connecticut | GPE | 7 | 📊 🔍 🧲 |
| bluesky share | PERSON | 6 | 📊 🔍 🧲 |
| facebook share on bluesky opens | WORK_OF_ART | 6 | 📊 🔍 🧲 |
| threads share | PERSON | 6 | 📊 🔍 🧲 |
| trinity audio | ORG | 6 | 📊 🔍 🧲 |
| ned lamont | PERSON | 4 | 📊 🔍 🧲 |
| uconn | GPE | 4 | 📊 🔍 🧲 |
| canada | GPE | 3 | 📊 🔍 🧲 |
| hartford courant | PERSON | 3 | 📊 🔍 🧲 |
| kevin rennie | PERSON | 3 | 📊 🔍 🧲 |
| lamont | PERSON | 3 | 📊 🔍 🧲 |
| one | CARDINAL | 3 | 📊 🔍 🧲 |
| ai | ORG | 2 | 📊 🔍 🧲 |
| aim | PERSON | 2 | 📊 🔍 🧲 |
| amazon | ORG | 2 | 📊 🔍 🧲 |
| american | NORP | 2 | 📊 🔍 🧲 |
| ct ct | ORG | 2 | 📊 🔍 🧲 |
| ct mirror | PERSON | 2 | 📊 🔍 🧲 |
| democrat | NORP | 2 | 📊 🔍 🧲 |
| donald trump | PERSON | 2 | 📊 🔍 🧲 |
| house | ORG | 2 | 📊 🔍 🧲 |
| london | GPE | 2 | 📊 🔍 🧲 |
| new england | LOC | 2 | 📊 🔍 🧲 |
| new haven | GPE | 2 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
6 | 54.55 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 3.1000 | 📊 🧲 |
| Technology | 2.6500 | 📊 🧲 |
| Environment, Climate | 1.9500 | 📊 🧲 |
| Business, Companies | 1.1600 | 📊 🧲 |
| Civil Unrest, Conflict | 0.7600 | 📊 🧲 |
| Health | 0.5100 | 📊 🧲 |
| Friends and Family | 0.3200 | 📊 🧲 |
| Political Theatre | 0.2500 | 📊 🧲 |
| Other | 0.2600 | — |
Articles included
Top entities
Top sources
Top narrative frames