News Feeds — Sentiment vs Depth
Scatter plot of article sentiment vs article length, revealing whether deeper coverage skews positive or negative.
Template details
- sentiment
- scatter
- depth
- news
- nlp
- chartjs
When to use this template
This visualization effectively highlights the relationship between the length or depth of a piece of content and its emotional tone. Analysts can use it to determine if more extensive coverage tends to be more positive, negative, or neutral, revealing potential biases or patterns in content creation and reception. It is ideal for understanding how content volume influences its perceived emotional valence.
- Datasets where each record represents a distinct textual item.
- Each item possesses a quantifiable sentiment or emotional score.
- Each item includes a numerical measure of its length or depth.
- Sufficient cardinality (hundreds to thousands of items) for pattern detection.
- Sentiment scores and length metrics are continuous or highly granular.
- Data where the correlation between content volume and emotional valence is of interest.