Twitter Emotion: Social Media Posts with Emotion Labels

Twitter_emotion.csv is a dataset of social media posts, likely containing text and associated emotion labels. The dataset is hosted on Kaggle, a platform for data science competitions and projects. Its specific size, collection method, and authorship are currently unknown.

Use Cases

• Training a classifier to detect emotions in social media text (inferred from domain, verify after download)
• Benchmarking transformer models on short-text emotion recognition tasks (inferred from domain, verify after download)
• Analyzing the distribution of expressed emotions across a corpus of tweets (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for data sharing and competitions.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

Likely collected from the Twitter/X platform via its API, but the specific method is unconfirmed.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

null