Abstract: This research investigates the use of deep learning models for predicting citation counts of academic research articles, leveraging Latent Dirichlet Allocation (LDA) scores as key features.
For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...
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