Dynamic Text Augmentation for Robust Sentiment Analysis: Enhancing Model Performance With EDA and Multi-Channel CNN

The rapid growth of social media has revolutionized the way individuals share and access opinions, generating vast amounts of textual data containing diverse sentiments. Sentiment analysis enables organizations to derive valuable insights from this data, facilitating improved decision-making. Howeve...

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Bibliografische gegevens

Hoofdauteurs:	Komang Wahyu Trisna, Jinjie Huang, Yuanjian Chen, I Gede Juliana Eka Putra
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2025-01-01
Reeks:	IEEE Access
Onderwerpen:	Convolutional neural networks deep learning sentiment analysis text augmentation word embedding
Online toegang:	https://ieeexplore.ieee.org/document/10870205/
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