Wikipedia Article Revision Comment Emotion Detection
Tracks the emotions expressed in Wikipedia editors' revision comments to reveal community sentiment and conflict patterns.
- Observations
- 14
- Tracking since
- Last updated
Anger emotion percentage
Percentage of emotion-related words indicating anger in recent revision comments
| When | Anger emotion percentage |
|---|---|
| 0.0% | |
| 0.0% |
Disgust emotion percentage
Percentage of emotion-related words indicating disgust in recent revision comments
| When | Disgust emotion percentage |
|---|---|
| 0.0% | |
| 0.0% |
Fear emotion percentage
Percentage of emotion-related words indicating fear in recent revision comments
| When | Fear emotion percentage |
|---|---|
| 0.0% | |
| 0.0% |
Joy emotion percentage
Percentage of emotion-related words indicating joy in recent revision comments
| When | Joy emotion percentage |
|---|---|
| 0.0% | |
| 100.0% |
Sadness emotion percentage
Percentage of emotion-related words indicating sadness in recent revision comments
| When | Sadness emotion percentage |
|---|---|
| 0.0% | |
| 0.0% |
Surprise emotion percentage
Percentage of emotion-related words indicating surprise in recent revision comments
| When | Surprise emotion percentage |
|---|---|
| 0.0% | |
| 0.0% |
Sentiment polarity
Average sentiment polarity of recent revision comments (range -1 to 1)
- Sentiment polarity0.5 count
| When | Sentiment polarity |
|---|---|
| 0.5 count | |
| 0.5 count |
About this data
The page shows the distribution of emotions (e.g., joy, anger, sadness, fear) detected in the comments editors leave when they revise a Wikipedia article. The emotion labels are produced by an automated classifier trained on a labelled corpus of revision comments.
It also reports sentiment polarity (positive, negative, neutral) for the same set of comments. The data are derived from the public Wikipedia edit history; each revision comment is extracted, processed, and aggregated over time. Observing shifts in emotion and sentiment helps to understand how collaborative editing evolves, where disagreements arise, and how the community’s mood changes around controversial topics.
Sources
Every figure on this page was read from these pages.
Why this isn't published anywhere else
No live dashboard, recurring report, or public dataset specifically tracks emotion detection in Wikipedia article revision comments; only general sentiment datasets and research papers exist, which do not constitute a dedicated tracker.
Uniqueness score 0.95 — assessed against live web search results when this subject was created.