Guide to selecting data augmentation techniques for sentiment analysis.

<p>Guide to selecting data augmentation techniques for sentiment analysis.</p>

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Bibliographic Details
Main Author:	Rodrigo Gutiérrez Benítez (19746443) (author)
Other Authors:	Alejandra Segura Navarrete (19746446) (author), Christian Vidal-Castro (19746449) (author), Claudia Martínez-Araneda (19746452) (author)
Published:	2024
Subjects:	Science Policy Mental Health Plant Biology Biological Sciences not elsewhere classified natural language processing last ten years higher education students generative adversarial networks convolutional neural network bidirectional encoder representations translation augmented version large labeled datasets easy data augmentation data augmentation approach crucial data source classifier model showed various augmentation techniques teaching survey dataset social media comments languages like spanish eda augmented version based violence dataset october 18 dataset social media translation ), techniques based survey responses small datasets classifier achieved xlink "> transforming text study aims specific characteristics song lyrics significant improvement selecting algorithms results suggest offers guidance national newspapers methods depends increase using including transformations improvement using findings show deep learning also improved
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