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Department of Data Science Institut Teknologi Sumatera (ITERA), Institut Teknologi Sumatera Lampung Selatan
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CNN-BiLSTM beats AutoML for Indonesian hate speech detection, but the gains are modest, suggesting the dataset's limitations are a bigger bottleneck than model architecture.
E-commerce sentiment analysis is surprisingly influenced by socio-political terminology, impacting the accuracy of customer satisfaction prediction models.
Sometimes, simpler is better: Logistic Regression beats BiLSTMs at tweet sentiment classification on medium-sized datasets.
