Tweet Emotion Intensity Annotations for Sentiment Analysis

Comprising tweets annotated for emotion intensity, originating from the WASSA-2017 shared task. It was created by Saif M. Mohammad and Felipe Bravo-Marquez, with the dataset page last updated in April 2022.

Use Cases

• Train regression models to predict emotion intensity scores from tweet text.
• Analyze the distribution of emotion intensity across different categories of tweets.
• Benchmark emotion detection algorithms using the WASSA-2017 shared task framework.

Strengths

• Dataset is associated with peer-reviewed research published at *Sem and EMNLP WASSA conferences.
• The dataset page was updated on 2022-04-18, indicating recent maintenance.
• Tags indicate the dataset is in a tabular and text modality, suitable for NLP tasks.

Limitations

• The exact number of rows, columns, and sample data are unavailable, limiting preliminary assessment.
• Specific license information is unknown, which could restrict commercial or research use.
• The geographic scope is implied as 'us' by tags, but the exact coverage is not detailed.

Provenance

Source

Hugging Face dataset uploaded by user 'stepp1', based on work by Saif M. Mohammad and Felipe Bravo-Marquez.

Collection Method

Tweets were annotated for emotion intensity, likely for a shared task; specific collection method is not detailed.

Freshness

Last updated on 2022-04-18.

Geography

Region tag indicates 'us', suggesting a focus on tweets from the United States.