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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2021
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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) |
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emotion classification affective language text classification Information technology T58.5-58.64 |
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emotion classification affective language text classification Information technology T58.5-58.64 Aiala Rosá Luis Chiruzzo Emotion Classification in Spanish: Exploring the Hard Classes |
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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 |
_version_ |
1718411822269202432 |