LiSSS: A toy corpus of Spanish Literary Sentences for Emotions detection

TL;DR

This paper introduces LISSS, a small Spanish literary sentence dataset for emotions detection, providing a resource for developing and evaluating emotion classification algorithms in computational creativity.

Contribution

It presents a new manually classified Spanish literary sentence corpus for emotions detection, along with baseline classification algorithms, as a free resource for the community.

Findings

Corpus includes sentences labeled with five emotions.

Baseline algorithms demonstrate initial classification performance.

Resource available for future research and algorithm development.

Abstract

In this work we present a new small data-set in Computational Creativity (CC) field, the Spanish Literary Sentences for emotions detection corpus (LISSS). We address this corpus of literary sentences in order to evaluate or design algorithms of emotions classification and detection. We have constitute this corpus by manually classifying the sentences in a set of emotions: Love, Fear, Happiness, Anger and Sadness/Pain. We also present some baseline classification algorithms applied on our corpus. The LISSS corpus will be available to the community as a free resource to evaluate or create CC-like algorithms.