TwitterEmo: Annotated Emotions and Sentiment in Polish Twitter Posts

TwitterEmo 1.0 dataset, described in a 2023 publication by Bogdanowicz et al. The dataset contains Polish-language Twitter posts annotated for emotions and sentiment. It was created by the organization clarin-pl and was last updated on the Hugging Face platform in October 2024.

Use Cases

• Train emotion classification models based on annotated Polish Twitter posts.
• Benchmark sentiment analysis tools for the Polish language.
• Study the expression of specific emotions in Polish social media discourse.

Strengths

• Dataset is linked to a peer-reviewed 2023 publication, suggesting academic rigor.
• Focuses on the Polish language, a less-resourced language for NLP tasks.
• Annotations cover both emotion and sentiment, providing multi-label potential.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal and platform bias inherent to its Twitter source.

Provenance

Source

clarin-pl

Collection Method

Likely collected and annotated from Polish Twitter posts, as per the publication title.

Freshness

Last updated 2024-10-03 13:09:31; freshness should be verified.

Geography

Poland (implied by language focus)