# Is This a Joke? Detecting Humor in Spanish Tweets

## TL;DR

This paper introduces a new dataset of Spanish tweets labeled for humor and develops a supervised learning classifier that achieves high precision and moderate recall in detecting humorous content.

## Contribution

It presents the first crowdsourced corpus of Spanish tweets annotated for humor and a novel classifier for automatic humor detection in Spanish social media texts.

## Key findings

- Achieved 84% precision in humor detection
- Attained 69% recall in classification
- Created a publicly available humor dataset

## Abstract

While humor has been historically studied from a psychological, cognitive and linguistic standpoint, its study from a computational perspective is an area yet to be explored in Computational Linguistics. There exist some previous works, but a characterization of humor that allows its automatic recognition and generation is far from being specified. In this work we build a crowdsourced corpus of labeled tweets, annotated according to its humor value, letting the annotators subjectively decide which are humorous. A humor classifier for Spanish tweets is assembled based on supervised learning, reaching a precision of 84% and a recall of 69%.