Text & Content Analysis
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
bang
Articles
1
From
2026-01-13 07:00:00+00
To
2026-01-13 07:00:00+00
Range
2026-01-10 23:36:54.884562+00 →
2026-02-09 23:36:54.884562+00
Who’s being talked about
Top Entities
| Entity | Label | Articles | Actions |
|---|---|---|---|
| 100 billion | MONEY | 1 | 🔍 📊 🧲 |
| ai | ORG | 1 | 🔍 📊 🧲 |
| american | NORP | 1 | 🔍 📊 🧲 |
| astro2020 | NORP | 1 | 🔍 📊 🧲 |
| australia | GPE | 1 | 🔍 📊 🧲 |
| bang | GPE | 1 | 🔍 📊 🧲 |
| canada | GPE | 1 | 🔍 📊 🧲 |
| capitol hill | LOC | 1 | 🔍 📊 🧲 |
| china | GPE | 1 | 🔍 📊 🧲 |
| chris gunn | PERSON | 1 | 🔍 📊 🧲 |
| csgnasa tv | ORG | 1 | 🔍 📊 🧲 |
| david spergel | PERSON | 1 | 🔍 📊 🧲 |
| dkist | ORG | 1 | 🔍 📊 🧲 |
| earth | LOC | 1 | 🔍 📊 🧲 |
| elt | ORG | 1 | 🔍 📊 🧲 |
| envision | ORG | 1 | 🔍 📊 🧲 |
| esa | ORG | 1 | 🔍 📊 🧲 |
| ethan siegel | PERSON | 1 | 🔍 📊 🧲 |
| ethan siegel copy | PERSON | 1 | 🔍 📊 🧲 |
| europe | LOC | 1 | 🔍 📊 🧲 |
| european | NORP | 1 | 🔍 📊 🧲 |
| exomars | PRODUCT | 1 | 🔍 📊 🧲 |
| facebook share | WORK_OF_ART | 1 | 🔍 📊 🧲 |
| germany | GPE | 1 | 🔍 📊 🧲 |
| gmt | ORG | 1 | 🔍 📊 🧲 |
Articles included
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-01-13 07:00:00+00 | Science |
|
The four paths forward for US scientists in 2026 | Analyze | Big Think | 🙂 positive | 0.1259 |