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.
| Entity | Label | Articles | Actions |
|---|---|---|---|
| europe | LOC | 2 | 📊 🧲 |
| germany | GPE | 2 | 📊 🧲 |
| linkedin sign | LOC | 2 | 📊 🧲 |
| today | DATE | 2 | 📊 🧲 |
| PERSON | 2 | 📊 🧲 | |
| u.s. | GPE | 2 | 📊 🧲 |
| 100 billion | MONEY | 1 | 📊 🧲 |
| ai | ORG | 1 | 📊 🧲 |
| american | NORP | 1 | 📊 🧲 |
| astro2020 | NORP | 1 | 📊 🧲 |
| australia | GPE | 1 | 📊 🧲 |
| baldwins | PERSON | 1 | 📊 🧲 |
| bang | GPE | 1 | 📊 🧲 |
| baron bowden | PERSON | 1 | 📊 🧲 |
| bertram vivian bowden | PERSON | 1 | 📊 🧲 |
| bowden | PERSON | 1 | 📊 🧲 |
| british | NORP | 1 | 📊 🧲 |
| canada | GPE | 1 | 📊 🧲 |
| capitol hill | LOC | 1 | 📊 🧲 |
| cardiff | NORP | 1 | 📊 🧲 |
| china | GPE | 1 | 📊 🧲 |
| chris gunn | PERSON | 1 | 📊 🧲 |
| committee of tribology | ORG | 1 | 📊 🧲 |
| csgnasa tv | ORG | 1 | 📊 🧲 |
| david spergel | PERSON | 1 | 📊 🧲 |
| Pub Date | Category | Domain | Title | Author | Sent | Score |
|---|---|---|---|---|---|---|
| 2026-01-14 14:00:00+00 | Science |
|
How “tribology” became a new industrial science | Big Think | positive | 0.0752 |
| 2026-01-13 07:00:00+00 | Science |
|
The four paths forward for US scientists in 2026 | Big Think | positive | 0.1259 |