EmojiSenti-Org: 42,000 Workplace Messages with Emotion Labels

42,000 emoji-containing workplace messages annotated with 8-class emotion labels. The dataset is hosted on Kaggle and appears designed for analyzing sentiment in organizational communication. Details about the author, organization, and collection methodology are not provided.

Use Cases

• Train emotion classification models based on the 8-class emotion labels.
• Analyze the relationship between emoji usage and sentiment in workplace communication.
• Benchmark multi-class text classifiers on a domain-specific corpus of organizational messages.
• Study pragmatic functions of emojis in professional or semi-professional contexts.

Strengths

• 42,000 labeled text samples provide a substantial corpus for model training.
• Emotion labels across 8 classes offer a multi-class classification task beyond binary sentiment.

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 or source bias inherent to its collection on Kaggle.

Provenance

Source

Kaggle