Twitter Posts With Geographic Coordinates

Geospatial data from the Twitter platform, containing tweets with associated location information. The dataset is hosted by the UCI Machine Learning Repository, a trusted source for academic datasets. Specific details on volume, collection period, and original author are unavailable.

Use Cases

• Analyze tweet density per geographic coordinate to map regional event hotspots.
• Correlate text content from tweets with their latitude and longitude to study localized sentiment.
• Model user movement patterns by sequencing timestamps and coordinates from tweet histories.
• Train classifiers to predict tweet topic based on its originating geographic region.

Strengths

• Data originates from a major social media platform with global reach.
• Combines textual content with precise geographic coordinates for spatial analysis.

Limitations

• Sample size, temporal range, and geographic coverage are unknown, limiting generalizability.
• Data likely suffers from self-selection bias, as only tweets with location sharing enabled are included.
• Potential label noise from inaccurate or user-provided location data.

Provenance

Source

Twitter platform, via UCI Machine Learning Repository.

Collection Method

Presumably collected via the Twitter API, capturing tweets with geotagging enabled.

Time Range

null

Freshness

null

Geography

Global, but specific coverage unknown.