Guide for the application of the data augmentation approach on sets of texts in Spanish for sentiment and emotion analysis

Over the last ten years, social media has become a crucial data source for businesses and researchers, providing a space where people can express their opinions and emotions. To analyze this data and classify emotions and their polarity in texts, natural language processing (NLP) techniques such as...

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Veröffentlicht in:	PloS one 2024-09, Vol.19 (9), p.e0310707
Hauptverfasser:	Gutiérrez Benítez, Rodrigo, Segura Navarrete, Alejandra, Vidal-Castro, Christian, Martínez-Araneda, Claudia
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Analysis Artificial neural networks Biology and Life Sciences Classification Communications industry Computational linguistics Computer and Information Sciences Data analysis Data augmentation Data mining Datasets Deep Learning Digital media Education Emotions Evaluation Generative adversarial networks Humans Language Language processing Machine Learning Mass media Methods Natural language interfaces Natural Language Processing Neural networks Neural Networks, Computer Performance evaluation Physical Sciences Research and Analysis Methods Semantics Sentiment analysis Social Media Social networks Social organization Social Sciences Spanish language Support vector machines Surveys Taxonomy Text processing Texts Translation
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