Sentiment Analysis on Twitter Using Deep Belief Network Optimized with Particle Swarm Optimization
Irma Amelia Dewi,
Muhammad Aldi Rizqullah
Abstract:Deep Belief Network is a type of artificial neural network that is widely used in machine learning and deep learning tasks that allows it to learn hierarchical representations of the input data. However, Deep Belief Network has a drawback of being sensitive to hyperparameters. DBN has several hyperparameters that need to be chosen appropriately for the network to function effectively. Poor hyperparameter choices can lead to unstable training or poor performance. Therefore, the Particle Swarm Optimization algor… Show more
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