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Does Syntax Matter? A Graph-Augmented Variational Topic Model for Computational Social Sciences
Topic modeling is widely used in computational social sciences to identify latent themes in large text corpora. Traditional approaches rely on Bag-of-Words representations and generative models such as LDA, while recent methods like BERTopic operate on dense document embeddings. This paper introduce
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