{"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/construction-and-quality-evaluation-of","title":"Construction and Quality Evaluation of Heterogeneous Hierarchical Topic Models","arxiv_id":"1811.02820","date":"2018-11-07","proceeding":null,"authors":["Anton Belyy"],"abstract":"In our work, we propose to represent HTM as a set of flat models, or layers,\nand a set of topical hierarchies, or edges. We suggest several quality measures\nfor edges of hierarchical models, resembling those proposed for flat models. We\nconduct an assessment experimentation and show strong correlation between the\nproposed measures and human judgement on topical edge quality. We also\nintroduce heterogeneous algorithm to build hierarchical topic models for\nheterogeneous data sources. We show how making certain adjustments to learning\nprocess helps to retain original structure of customized models while allowing\nfor slight coherent modifications for new documents. We evaluate this approach\nusing the proposed measures and show that the proposed heterogeneous algorithm\nsignificantly outperforms the baseline concat approach. Finally, we implement\nour own ESE called Rysearch, which demonstrates the potential of ARTM approach\nfor visualizing large heterogeneous document collections.","url_abs":"http://arxiv.org/abs/1811.02820v1","url_pdf":"http://arxiv.org/pdf/1811.02820v1.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":"construction-and-quality-evaluation-of","repo_url":"https://github.com/AVBelyy/Rysearch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"topic-models","task_name":"Topic Models"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}