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Found 3 papers, 2 papers with code
Neural Multimodal Topic Modeling: A Comprehensive Evaluation
This paper presents the first systematic and comprehensive evaluation of multimodal topic modeling of documents containing both text and images.
Diversity-Aware Coherence Loss for Improving Neural Topic Models
The standard approach for neural topic modeling uses a variational autoencoder (VAE) framework that jointly minimizes the KL divergence between the estimated posterior and prior, in addition to the reconstruction loss.
Regional Differences in Information Privacy Concerns After the Facebook-Cambridge Analytica Data Scandal
We collected and analyzed a large-scale dataset of tweets about the #CambridgeAnalytica scandal in Spanish and English to start exploring this hypothesis.
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