Twitter Sentiment Data for Russia-Ukraine War Related Posts

A cleaned Twitter/X dataset containing posts related to the Russia-Ukraine war, with sentiment labels. The dataset's author, size, and specific temporal coverage are unknown. It was sourced from the Kaggle platform.

Use Cases

• Train sentiment classification models based on war-related social media text.
• Analyze public discourse and opinion trends based on war-related posts.
• Study the spread and framing of information during a major conflict based on social media data.

Strengths

• Data has been cleaned, which likely reduces preprocessing effort for analysis.
• Focuses on a specific, high-impact geopolitical event, providing topical relevance.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Likely gathered via Twitter/X API, though the specific collection method is unspecified.