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
mcgill university
Articles
2
From
2026-04-06 16:18:47+00
To
2026-04-29 15:25:02+00
Range
2026-04-02 17:08:43.800538+00 →
2026-05-02 17:08:43.800538+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| canada | GPE | 2 | 📊 🔍 🧲 |
| mcgill university | ORG | 2 | 📊 🔍 🧲 |
| montreal | GPE | 2 | 📊 🔍 🧲 |
| advertisement sign | PERSON | 1 | 📊 🔍 🧲 |
| boston | GPE | 1 | 📊 🔍 🧲 |
| bzdok | LOC | 1 | 📊 🔍 🧲 |
| dr danilo bzdok | PERSON | 1 | 📊 🔍 🧲 |
| drugs neuroscience | LOC | 1 | 📊 🔍 🧲 |
| edt | ORG | 1 | 📊 🔍 🧲 |
| eight weeks | DATE | 1 | 📊 🔍 🧲 |
| emmanuel stamatakis | PERSON | 1 | 📊 🔍 🧲 |
| first | ORDINAL | 1 | 📊 🔍 🧲 |
| google scientists | ORG | 1 | 📊 🔍 🧲 |
| guardian | ORG | 1 | 📊 🔍 🧲 |
| hyunwoo yuk | PERSON | 1 | 📊 🔍 🧲 |
| ian sample science | PERSON | 1 | 📊 🔍 🧲 |
| jayachandran kizhakkedathu | PERSON | 1 | 📊 🔍 🧲 |
| jianyu li | PERSON | 1 | 📊 🔍 🧲 |
| li | PERSON | 1 | 📊 🔍 🧲 |
| linkedin reddit email | PERSON | 1 | 📊 🔍 🧲 |
| massachusetts | GPE | 1 | 📊 🔍 🧲 |
| new scientist | ORG | 1 | 📊 🔍 🧲 |
| one | CARDINAL | 1 | 📊 🔍 🧲 |
| receive | PERSON | 1 | 📊 🔍 🧲 |
| sanaheal | ORG | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 50.00 | 📊 📰 🧲 |
|
|
1 | 50.00 | 📊 📰 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-04-29 15:25:02+00 | Health |
|
Simple treatment tweak drastically reduces blood loss from severe cuts | Analyze | Yujia Huang | 😐 neutral | 0.0625 |
| 2026-04-06 16:18:47+00 | Science |
|
Scientists identify ‘neural fingerprint’ of psychedelic drugs in the brain | Analyze | Ian Sample | 😐 neutral | 0.1104 |