Emotion Classification in Spanish: Exploring the Hard Classes

The study of affective language has had numerous developments in the Natural Language Processing area in recent years, but the focus has been predominantly on Sentiment Analysis, an expression usually used to refer to the classification of texts according to their polarity or valence (positive vs. n...

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Autores principales: Aiala Rosá, Luis Chiruzzo
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/aaa4f2f60d9e4c9da97d9e4ef9a0b335
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spelling oai:doaj.org-article:aaa4f2f60d9e4c9da97d9e4ef9a0b3352021-11-25T17:58:23ZEmotion Classification in Spanish: Exploring the Hard Classes10.3390/info121104382078-2489https://doaj.org/article/aaa4f2f60d9e4c9da97d9e4ef9a0b3352021-10-01T00:00:00Zhttps://www.mdpi.com/2078-2489/12/11/438https://doaj.org/toc/2078-2489The study of affective language has had numerous developments in the Natural Language Processing area in recent years, but the focus has been predominantly on Sentiment Analysis, an expression usually used to refer to the classification of texts according to their polarity or valence (positive vs. negative). The study of emotions, such as joy, sadness, anger, surprise, among others, has been much less developed and has fewer resources, both for English and for other languages, such as Spanish. In this paper, we present the most relevant existing resources for the study of emotions, mainly for Spanish; we describe some heuristics for the union of two existing corpora of Spanish tweets; and based on some experiments for classification of tweets according to seven categories (<i>anger</i>, <i>disgust</i>, <i>fear</i>, <i>joy</i>, <i>sadness</i>, <i>surprise</i>, and others) we analyze the most problematic classes.Aiala RosáLuis ChiruzzoMDPI AGarticleemotion classificationaffective languagetext classificationInformation technologyT58.5-58.64ENInformation, Vol 12, Iss 438, p 438 (2021)
institution DOAJ
collection DOAJ
language EN
topic emotion classification
affective language
text classification
Information technology
T58.5-58.64
spellingShingle emotion classification
affective language
text classification
Information technology
T58.5-58.64
Aiala Rosá
Luis Chiruzzo
Emotion Classification in Spanish: Exploring the Hard Classes
description The study of affective language has had numerous developments in the Natural Language Processing area in recent years, but the focus has been predominantly on Sentiment Analysis, an expression usually used to refer to the classification of texts according to their polarity or valence (positive vs. negative). The study of emotions, such as joy, sadness, anger, surprise, among others, has been much less developed and has fewer resources, both for English and for other languages, such as Spanish. In this paper, we present the most relevant existing resources for the study of emotions, mainly for Spanish; we describe some heuristics for the union of two existing corpora of Spanish tweets; and based on some experiments for classification of tweets according to seven categories (<i>anger</i>, <i>disgust</i>, <i>fear</i>, <i>joy</i>, <i>sadness</i>, <i>surprise</i>, and others) we analyze the most problematic classes.
format article
author Aiala Rosá
Luis Chiruzzo
author_facet Aiala Rosá
Luis Chiruzzo
author_sort Aiala Rosá
title Emotion Classification in Spanish: Exploring the Hard Classes
title_short Emotion Classification in Spanish: Exploring the Hard Classes
title_full Emotion Classification in Spanish: Exploring the Hard Classes
title_fullStr Emotion Classification in Spanish: Exploring the Hard Classes
title_full_unstemmed Emotion Classification in Spanish: Exploring the Hard Classes
title_sort emotion classification in spanish: exploring the hard classes
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/aaa4f2f60d9e4c9da97d9e4ef9a0b335
work_keys_str_mv AT aialarosa emotionclassificationinspanishexploringthehardclasses
AT luischiruzzo emotionclassificationinspanishexploringthehardclasses
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