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.

Data and Resources

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