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...
Kaydedildi:
| Asıl Yazarlar: | , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Politeknik Negeri Batam
2026-02-01
|
| Seri Bilgileri: | Journal of Applied Informatics and Computing |
| Konular: | |
| Online Erişim: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/11582 |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
|