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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Main Authors: Aiala Rosá, Luis Chiruzzo
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/12/11/438
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author Aiala Rosá
Luis Chiruzzo
author_facet Aiala Rosá
Luis Chiruzzo
author_sort Aiala Rosá
collection DOAJ
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.
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spelling doaj.art-aaa4f2f60d9e4c9da97d9e4ef9a0b3352023-11-22T23:45:12ZengMDPI AGInformation2078-24892021-10-01121143810.3390/info12110438Emotion Classification in Spanish: Exploring the Hard ClassesAiala Rosá0Luis Chiruzzo1Facultad de Ingeniería, Instituto de Computación, Universidad de la República, Julio Herrera y Reissig 565, Montevideo 11300, UruguayFacultad de Ingeniería, Instituto de Computación, Universidad de la República, Julio Herrera y Reissig 565, Montevideo 11300, UruguayThe 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.https://www.mdpi.com/2078-2489/12/11/438emotion classificationaffective languagetext classification
spellingShingle Aiala Rosá
Luis Chiruzzo
Emotion Classification in Spanish: Exploring the Hard Classes
Information
emotion classification
affective language
text classification
title 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_short Emotion Classification in Spanish: Exploring the Hard Classes
title_sort emotion classification in spanish exploring the hard classes
topic emotion classification
affective language
text classification
url https://www.mdpi.com/2078-2489/12/11/438
work_keys_str_mv AT aialarosa emotionclassificationinspanishexploringthehardclasses
AT luischiruzzo emotionclassificationinspanishexploringthehardclasses