{"id":862,"date":"2024-09-18T13:22:50","date_gmt":"2024-09-18T17:22:50","guid":{"rendered":"https:\/\/wordpress.cs.vt.edu\/infovis\/?page_id=862"},"modified":"2024-09-25T13:19:46","modified_gmt":"2024-09-25T17:19:46","slug":"swc","status":"publish","type":"page","link":"https:\/\/wordpress.cs.vt.edu\/infovis\/swc\/","title":{"rendered":"Visualizing Spatial Semantics of Dimensionally Reduced Text Embeddings"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1652\" src=\"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/case_study_covid19_2_copy-scaled.jpg\" alt=\"\" class=\"wp-image-896\" style=\"width:812px;height:auto\" srcset=\"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/case_study_covid19_2_copy-scaled.jpg 2560w, https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/case_study_covid19_2_copy-300x194.jpg 300w, https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/case_study_covid19_2_copy-1024x661.jpg 1024w, https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/case_study_covid19_2_copy-768x496.jpg 768w, https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/case_study_covid19_2_copy-1536x991.jpg 1536w, https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/case_study_covid19_2_copy-2048x1322.jpg 2048w, https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/case_study_covid19_2_copy-1568x1012.jpg 1568w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>Dimension reduction (DR) can transform high-dimensional text embeddings into a 2D visual projection facilitating the exploration of document similarities. However, the projection often lacks connection to the text semantics, due to the opaque nature of text embeddings and non-linear dimension reductions. To address these problems, we propose a gradient-based method for visualizing the spatial semantics of dimensionally reduced text embeddings. This method employs gradients to assess the sensitivity of the projected documents with respect to the underlying words. The method can be applied to existing DR algorithms and text embedding models. Using these gradients, we designed a visualization system that incorporates spatial word clouds into the document projection space to illustrate the impactful text features. <br><\/p>\n\n\n\n<p><strong><em>Suggested paper:<\/em><\/strong><br><a href=\"https:\/\/arxiv.org\/abs\/2409.03949\" data-type=\"link\" data-id=\"https:\/\/arxiv.org\/abs\/2409.03949\">Visualizing Spatial Semantics of Dimensionally Reduced Text Embeddings<\/a><\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Dimension reduction (DR) can transform high-dimensional text embeddings into a 2D visual projection facilitating the exploration of document similarities. However, the projection often lacks connection to the text semantics, due to the opaque nature of text embeddings and non-linear dimension reductions. To address these problems, we propose a gradient-based method for visualizing the spatial semantics &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/wordpress.cs.vt.edu\/infovis\/swc\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Visualizing Spatial Semantics of Dimensionally Reduced Text Embeddings&#8221;<\/span><\/a><\/p>\n","protected":false},"author":465,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-862","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/pages\/862","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/users\/465"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/comments?post=862"}],"version-history":[{"count":5,"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/pages\/862\/revisions"}],"predecessor-version":[{"id":947,"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/pages\/862\/revisions\/947"}],"wp:attachment":[{"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/media?parent=862"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}