News Feeds — Sentiment Timeline
Time-series chart of average article sentiment over recent days for a region. Highlights mood swings and tone shifts.
Template details
- sentiment
- timeseries
- news
- nlp
- chartjs
When to use this template
This visualization helps identify temporal patterns, shifts, and anomalies in a continuous metric, revealing how a particular attribute evolves over time. Analysts use it to track the overall 'mood' or intensity of a phenomenon, such as public opinion or market sentiment, and correlate these changes with specific events or periods.
- Time-series data with a clear chronological order.
- Numerical metric representing a continuous score or intensity.
- Aggregated data, often averages, per consistent time interval.
- Regular, consistent time intervals (e.g., daily, weekly, monthly).
- Data where the primary insight is temporal trend or change.
- Single or few distinct categorical dimensions for comparison.