{"641267":{"#nid":"641267","#data":{"type":"event","title":"PhD Defense by Hannah Kim","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;Interactive Visual Text Analytics\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003EHannah Kim\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Computational Science \u0026amp; Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECollege of Computing\u003Cbr \/\u003E\r\nGeorgia Institute of Technology\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate:\u003C\/strong\u003E\u0026nbsp;Wednesday, November 18, 2020\u003Cbr \/\u003E\r\n\u003Cstrong\u003ETime:\u003C\/strong\u003E\u0026nbsp;9am - 11am EST\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation\u003C\/strong\u003E\u0026nbsp;(remote via Bluejeans):\u0026nbsp;\u003Ca href=\u0022https:\/\/bluejeans.com\/218309196\u0022\u003Ehttps:\/\/bluejeans.com\/218309196\u003C\/a\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003ECommittee\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Haesun Park - Advisor, Georgia Institute of Technology, School of Computational Science and Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Alex Endert - Georgia Institute of Technology, School of Interactive Computing\u003Cbr \/\u003E\r\nDr. Polo Chau - Georgia Institute of Technology, School of Computational Science and Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Chao Zhang - Georgia Institute of Technology, School of Computational Science and Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Nan Cao - Tongji University, College of Design and Innovation and College of Software Engineering\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHuman-in-the-Loop machine learning leverages both human and machine intelligence to build a smarter model. Even with the advances in machine learning techniques,\u0026nbsp;results generated by automated models\u0026nbsp;can be\u0026nbsp;of poor quality or do not always match users\u0026#39; judgment or context.\u0026nbsp;To this end, keeping human in the loop via right interfaces to steer the underlying model\u0026nbsp;can be\u0026nbsp;highly beneficial. Prior research in machine learning and visual analytics has focused on either improving model performances or developing interactive interfaces without carefully considering the other side.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this dissertation, we design and develop interactive systems that tightly integrate algorithms, visualizations, and user interactions, focusing on improving interactivity, scalability, and interpretability of the underlying models. Specifically, we present three visual analytics systems to\u0026nbsp;explore and interact with large-scale text data. First, we present interactive hierarchical topic modeling for multi-scale analysis of large-scale documents. Second, we introduce interactive search space reduction to discover relevant subset of documents with high recall for focused analyses. Lastly,\u0026nbsp;we propose interactive exploration and debiasing of word embeddings.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":" Interactive Visual Text Analytics"}],"uid":"27707","created_gmt":"2020-11-12 18:55:30","changed_gmt":"2020-11-12 18:55:30","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-11-18T09:00:00-05:00","event_time_end":"2020-11-18T11:00:00-05:00","event_time_end_last":"2020-11-18T11:00:00-05:00","gmt_time_start":"2020-11-18 14:00:00","gmt_time_end":"2020-11-18 16:00:00","gmt_time_end_last":"2020-11-18 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}