Innovative: Journal Of Social Science Research , volume=

Penerapan Fitur Ekstraksi TF-IDF untuk Analisis Sentimen Ulasan Game Bus Simulator Indonesia dengan Algoritma Naive Bayes , author=

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cs.CL · 2026-05-02 · unverdicted · novelty 2.0

Attention-based BiLSTM classifies Steam review sentiment at 83% accuracy with interpretable attention weights highlighting key words.

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Enhancing Game Review Sentiment Classification on Steam Platform with Attention-Based BiLSTM cs.CL · 2026-05-02 · unverdicted · none · ref 2
Attention-based BiLSTM classifies Steam review sentiment at 83% accuracy with interpretable attention weights highlighting key words.