{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/jldadmm-a-java-package-for-the-lda-and-dmm","title":"jLDADMM: A Java package for the LDA and DMM topic models","arxiv_id":"1808.03835","date":"2018-08-11","proceeding":null,"authors":["Dat Quoc Nguyen"],"abstract":"In this technical report, we present jLDADMM---an easy-to-use Java toolkit\nfor conventional topic models. jLDADMM is released to provide alternatives for\ntopic modeling on normal or short texts. It provides implementations of the\nLatent Dirichlet Allocation topic model and the one-topic-per-document\nDirichlet Multinomial Mixture model (i.e. mixture of unigrams), using collapsed\nGibbs sampling. In addition, jLDADMM supplies a document clustering evaluation\nto compare topic models. jLDADMM is open-source and available to download at:\nhttps://github.com/datquocnguyen/jLDADMM","url_abs":"http://arxiv.org/abs/1808.03835v1","url_pdf":"http://arxiv.org/pdf/1808.03835v1.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":"jldadmm-a-java-package-for-the-lda-and-dmm","repo_url":"https://github.com/datquocnguyen/jLDADMM","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"},{"task_slug":"topic-models","task_name":"Topic Models"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}