Comprehensive Comparison of TF-IDF and Word2Vec in Product Sentiment Classification Using Machine Learning Models

Sentiment analysis supports data-driven decisions by turning product reviews into reliable polarity labels. We compare four text representations, TF-IDF, TF-IDF reduced via SVD, Word2Vec (trained from scratch), and a hybrid TF-IDF(SVD-300). Word2Vec, for sentiment classification of Indonesian Shopee...

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Autors principals:	Asra Gretya Sinaga, Robet Robet, Octara Pribadi
Format:	Artigo
Idioma:	Inglês
Publicat:	Politeknik Negeri Batam 2026-02-01
Col·lecció:	Journal of Applied Informatics and Computing
Matèries:	machine learning sentiment analysis tf-idf word2vec product reviews
Accés en línia:	https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/11582
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