Analisis Kinerja Model Gabungan Convolutional Neural Network Dengan Long Short-Term Memory dan Gated Recurrent Unit untuk Analisis Sentimen Berbahasa Indonesia = Performance Analysis of Combined Convolutional Neural Network With Long Short-Term Memory and Gated Recurrent Unit Model on Sentiment Analysis in Indonesian Language

Model Bidirectional Gated Recurrent Unit dengan Fungsi Kerugian Categorical Cross Entropy untuk Analisis Sentimen pada Data Tidak Seimbang = Bidirectional Gated Recurrent Unit Model with Categorical Cross Entropy Loss Function for Sentiment Analysis on Imbalanced Data

Analisis kinerja modifikasi model gabungan long short-term memory dan convolutional neural network untuk analisis sentimen berbahasa Indonesia = Performance analysis of modified combined long short-term memory and convolutional neural network model on sentiment analysis in Indonesian language

Model Gabungan fastText-CNN-BiLSTM untuk Analisis Sentimen pada Data Opini Berbahasa Indonesia = Hybrid Model fastText-CNN-BiLSTM for Sentiment Analysis on Indonesian Opinion Data

Pengembangan Sistem Penilaian Esai Otomatis (SIMPLE-O) pada Ujian Esai Bahasa Indonesia Menggunakan Stacked Bidirectional Gated Recurrent Unit dengan Manhattan Distance dan Cosine Similarity = The Development of an Automatic Essay Scoring System (SIMPLE-O) for Indonesian Language Essay Exams Using Stacked Bidirectional Gated Recurrent Unit with Manhattan Distance and Cosine Similarity