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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Bibliographic Details
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
Description
Summary: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.
ISSN:2078-2489