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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| Principais autores: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Politeknik Negeri Batam
2026-02-01
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| Serija: | Journal of Applied Informatics and Computing |
| Teme: | |
| Online dostop: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/11582 |
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