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Annotated Humor Detection Dataset

The dataset consists of 3543 annotated tweets, featuring 1755 labeled as humorous and 1698 as non-humorous. It was used for evaluating the effectiveness of bilingual word embeddings and deep learning models for humor detection.

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Cite this as

Sushmitha Reddy Sane, Suraj Tripathi, Koushik Reddy Sane, Radhika Mamidi (2024). Dataset: Annotated Humor Detection Dataset. https://doi.org/10.57702/xp83et1b

DOI retrieved: November 25, 2024

Additional Info

Field Value
Created November 25, 2024
Last update November 25, 2024
Defined In https://doi.org/10.18653/v1/W19-1307
Author Sushmitha Reddy Sane
More Authors
Suraj Tripathi
Koushik Reddy Sane
Radhika Mamidi