Twitter Sentiment 2024
About this Dataset
A large-scale collection of 500,000 tweets gathered throughout 2024, each labeled positive, negative, or neutral using a consensus of three independent human annotators. Tweets span topics including politics, sports, technology, and entertainment, with each entry carrying a confidence score, timestamp, geo-region tag, and original language code. The dataset is balanced across sentiment classes and was filtered for duplicate and bot-generated content before release.
Validation Report
Quality Analysis
Issues
- !Minor encoding artifacts present in 0.3% of samples
Strengths
- 500K+ scale with consistent labeling methodology
- Well-balanced class distribution
- Temporal diversity across full calendar year
- Confidence scores included per annotation
Category & Use Cases
Recommended Use Cases
Originality Check
Highly original dataset. No significant overlap detected with any known public sentiment corpus. The 2024 temporal window and multi-topic scope provide unique coverage.
Access Price
47
Total Purchases
May 2, 2026
Listed