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While specialized models have\nbeen developed for particular applications, few are widely used in practice, as\ncustomization typically requires derivation of a custom inference algorithm. In\nthis paper, we build on recent advances in variational inference methods and\npropose a general neural framework, based on topic models, to enable flexible\nincorporation of metadata and allow for rapid exploration of alternative\nmodels. Our approach achieves strong performance, with a manageable tradeoff\nbetween perplexity, coherence, and sparsity. Finally, we demonstrate the\npotential of our framework through an exploration of a corpus of articles about\nUS immigration.","url_abs":"http://arxiv.org/abs/1705.09296v2","url_pdf":"http://arxiv.org/pdf/1705.09296v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"neural-models-for-documents-with-metadata","repo_url":"https://github.com/dallascard/neural_topic_models","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"neural-models-for-documents-with-metadata","repo_url":"https://github.com/dallascard/scholar","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"neural-models-for-documents-with-metadata","repo_url":"https://github.com/maximilianahrens/scholar4regression","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"task_slug":"topic-models","task_name":"Topic Models"},{"task_slug":"variational-inference","task_name":"Variational Inference"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1705.09296","atlas_url":"https://app.syntology.ai/?focus=1705.09296","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1705.09296"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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