Classification Report for Traditional Classification Models.

<p>Classification Report for Traditional Classification Models.</p>

Сохранить в:

Библиографические подробности
Главный автор:	Jacqueline Jia Hsin Hu (22783501) (author)
Другие авторы:	Fahad Ahmad (18427890) (author), Mohamed Bader-El-Den (15470177) (author)
Опубликовано:	2025
Предметы:	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
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Схожие документы