{"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/discovering-topics-in-text-datasets-by","title":"Discovering topics in text datasets by visualizing relevant words","arxiv_id":"1707.06100","date":"2017-07-18","proceeding":null,"authors":["Franziska Horn","Leila Arras","Grégoire Montavon","Klaus-Robert Müller","Wojciech Samek"],"abstract":"When dealing with large collections of documents, it is imperative to quickly\nget an overview of the texts' contents. In this paper we show how this can be\nachieved by using a clustering algorithm to identify topics in the dataset and\nthen selecting and visualizing relevant words, which distinguish a group of\ndocuments from the rest of the texts, to summarize the contents of the\ndocuments belonging to each topic. We demonstrate our approach by discovering\ntrending topics in a collection of New York Times article snippets.","url_abs":"http://arxiv.org/abs/1707.06100v1","url_pdf":"http://arxiv.org/pdf/1707.06100v1.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":"discovering-topics-in-text-datasets-by","repo_url":"https://github.com/cod3licious/textcatvis","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}