{"id":507,"date":"2020-09-27T20:32:34","date_gmt":"2020-09-27T20:32:34","guid":{"rendered":"http:\/\/sigdoc.acm.org\/conference\/2020\/?p=507"},"modified":"2020-10-05T15:42:53","modified_gmt":"2020-10-05T15:42:53","slug":"xie","status":"publish","type":"post","link":"http:\/\/sigdoc.acm.org\/conference\/2020\/xie\/","title":{"rendered":"&#8220;Topic Modeling-based Web Architecture Redesign&#8221; &#8211; Chenxing Xie"},"content":{"rendered":"<div class=\"members-access-error\">Sorry, but you do not have permission to view this content.<\/div>\n","protected":false},"excerpt":{"rendered":"<div class=\"members-access-error\">Sorry, but you do not have permission to view this content.<\/div>\n","protected":false},"author":27,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[20,23],"tags":[32,162,31],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.7.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>&quot;Topic Modeling-based Web Architecture Redesign&quot; - Chenxing Xie - SIGDOC Conference 2020<\/title>\n<meta name=\"description\" content=\"This research uses a topic modeling-based method to systematically analyze the user journey and perform a data-driven web architecture redesign to optimize the overall efficiency of the website. Employing a Latent Dirichlet allocation (LDA)-based analytic tool, this study explores the rhetorical patterns of the communication on a well-known discussion board and proposes a new information architecture to fill the gap between the current architecture and users\u2019 needs based on the primary topics generated. The research sheds light on both practitioners and educators. For practitioners, the topic modeling-based method allows web designers to build websites with a formulated workflow. For educators, this research proposes an innovative method for usability study that can systematically analyze the user journey and the ecosystem of information architectures.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/sigdoc.acm.org\/conference\/2020\/xie\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"&quot;Topic Modeling-based Web Architecture Redesign&quot; - Chenxing Xie - SIGDOC Conference 2020\" \/>\n<meta property=\"og:description\" content=\"This research uses a topic modeling-based method to systematically analyze the user journey and perform a data-driven web architecture redesign to optimize the overall efficiency of the website. Employing a Latent Dirichlet allocation (LDA)-based analytic tool, this study explores the rhetorical patterns of the communication on a well-known discussion board and proposes a new information architecture to fill the gap between the current architecture and users\u2019 needs based on the primary topics generated. The research sheds light on both practitioners and educators. For practitioners, the topic modeling-based method allows web designers to build websites with a formulated workflow. 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