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Advanced sentiment analysis in online shopping: Implementing LSTM models analyzing E-commerce user sentiments

This study addresses the accuracy challenges in e-commerce sentiment classification and thus provides valuable insight for businesses to enrich strategies toward the interpretation of customer feedback and improvement of product development. This article elaborately contrasts long short-term memory...

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Auteur principal: Lu Liyuan
Format: Artigo
Langue:Inglês
Publié: De Gruyter 2025-07-01
Collection:Nonlinear Engineering
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Accès en ligne:https://doi.org/10.1515/nleng-2025-0110
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