Classification Report for Deep Learning Models.

<div><p>Traditional survey-based feedback has given way to real-time online reviews, yet transforming this unstructured text into actionable knowledge remains difficult. Focusing on the highly competitive smartphone market, where customer sentiment shapes brand perception and product str...

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第一著者:	Jacqueline Jia Hsin Hu (22783501) (author)
その他の著者:	Fahad Ahmad (18427890) (author), Mohamed Bader-El-Den (15470177) (author)
出版事項:	2025
主題:	Science Policy Space Science Biological Sciences not elsewhere classified valence aware dictionary ten smartphone brands outlines future work latent dirichlet allocation integrated pipeline demonstrates highest accuracy 85 decoding brand sentiments culturally nuanced language convolutional neural network compare brand performance combines machine learning negative matrix factorization negative customer attitudes interactive tableau dashboard track sentiment trends time online reviews leveraging customer reviews tableau </ p end analytics pipeline based sentiment analysis negative classes interactive visualisation based feedback sentiment reasoner sentiment classification level sentiment neutral reviews yet transforming unstructured text underlying themes term memory study proposes ready insights product strategy potential bias nmf produced naive bayes models struggled ml models lstm )). logistic regression interpretable topics given way fairness auditing domain generalisation dl models decision trees coupling cnn coherent topics coherence score
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Classification Report for Deep Learning Models.

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