{"id":"https://openalex.org/W2092628313","doi":"https://doi.org/10.1145/2449396.2449441","title":"Optimizing temporal topic segmentation for intelligent text visualization","display_name":"Optimizing temporal topic segmentation for intelligent text visualization","publication_year":2013,"publication_date":"2013-03-19","ids":{"openalex":"https://openalex.org/W2092628313","doi":"https://doi.org/10.1145/2449396.2449441","mag":"2092628313"},"language":"en","primary_location":{"id":"doi:10.1145/2449396.2449441","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2449396.2449441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 international conference on Intelligent user interfaces","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048111120","display_name":"Shimei Pan","orcid":"https://orcid.org/0000-0002-5989-8543"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shimei Pan","raw_affiliation_strings":["IBM Research, Yorktown Heights, New York, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Yorktown Heights, New York, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054523299","display_name":"Michelle X. Zhou","orcid":"https://orcid.org/0000-0002-0802-5806"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michelle X. Zhou","raw_affiliation_strings":["IBM Research, Almaden, California, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Almaden, California, USA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020880385","display_name":"Yangqiu Song","orcid":"https://orcid.org/0000-0002-7818-6090"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yangqiu Song","raw_affiliation_strings":["HKUST, Hong Kong, China","[HKUST, Hong Kong, China]"],"affiliations":[{"raw_affiliation_string":"HKUST, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"[HKUST, Hong Kong, China]","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030594139","display_name":"Weihong Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Weihong Qian","raw_affiliation_strings":["IBM Research, Beijing, China","IBM Research,,,Beijing,,China"],"affiliations":[{"raw_affiliation_string":"IBM Research, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM Research,,,Beijing,,China","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455958","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0003-3462-8472"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["IBM Research, Yorktown Heights, New York, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Yorktown Heights, New York, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038775008","display_name":"Shi\u2010Xia Liu","orcid":"https://orcid.org/0000-0001-6104-4320"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shixia Liu","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048111120"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4886,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.90870121,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"339","last_page":"350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/timeline","display_name":"Timeline","score":0.9201299548149109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8268759250640869},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7270216345787048},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.629635214805603},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6275879740715027},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5904321670532227},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5812215805053711},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5447391867637634},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4395601153373718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2870875298976898}],"concepts":[{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.9201299548149109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8268759250640869},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7270216345787048},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.629635214805603},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6275879740715027},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5904321670532227},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5812215805053711},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5447391867637634},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4395601153373718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2870875298976898},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2449396.2449441","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2449396.2449441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 international conference on Intelligent user interfaces","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.411.8257","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.411.8257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/en-us/um/people/shliu/p339-pan.pdf","raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-61032","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-61032","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W183401690","https://openalex.org/W192837634","https://openalex.org/W1540310548","https://openalex.org/W1568327918","https://openalex.org/W1828401780","https://openalex.org/W1880262756","https://openalex.org/W1915315806","https://openalex.org/W1984919363","https://openalex.org/W1988981069","https://openalex.org/W1994734988","https://openalex.org/W2019676294","https://openalex.org/W2022677886","https://openalex.org/W2027038623","https://openalex.org/W2071066826","https://openalex.org/W2072644219","https://openalex.org/W2080179128","https://openalex.org/W2099223662","https://openalex.org/W2100626830","https://openalex.org/W2100873065","https://openalex.org/W2102524069","https://openalex.org/W2106867392","https://openalex.org/W2106918957","https://openalex.org/W2139956879","https://openalex.org/W2140836433","https://openalex.org/W2144092076","https://openalex.org/W2153848378","https://openalex.org/W2156693754","https://openalex.org/W2158085718","https://openalex.org/W2170337404","https://openalex.org/W2171343266","https://openalex.org/W2198602317","https://openalex.org/W2434205482","https://openalex.org/W2915722758","https://openalex.org/W2949496004"],"related_works":["https://openalex.org/W1858249912","https://openalex.org/W2114034199","https://openalex.org/W4391249598","https://openalex.org/W2317428717","https://openalex.org/W2734259032","https://openalex.org/W3094038556","https://openalex.org/W2014772881","https://openalex.org/W4254228154","https://openalex.org/W3049477255","https://openalex.org/W4296345146"],"abstract_inverted_index":{"We":[0],"are":[1],"building":[2],"a":[3,30,37,48,57,61,80,97],"topic-based,":[4],"interactive":[5],"visual":[6],"analytic":[7],"tool":[8],"that":[9],"aids":[10],"users":[11,20],"in":[12],"analyzing":[13],"large":[14],"collections":[15],"of":[16,64,82,90,104],"text.":[17],"To":[18],"help":[19],"quickly":[21],"discover":[22],"content":[23,27,89],"evolution":[24],"and":[25,67],"significant":[26],"transitions":[28],"within":[29],"topic":[31,43,50],"over":[32,107],"time,":[33],"here":[34],"we":[35],"present":[36],"novel,":[38],"constraint-based":[39],"approach":[40],"to":[41,85],"temporal":[42],"segmentation.":[44],"Our":[45,93],"solution":[46,76],"splits":[47],"discovered":[49],"into":[51],"multiple":[52],"linear,":[53],"non-overlapping":[54],"sub-topics":[55],"along":[56],"timeline":[58],"by":[59],"satisfying":[60],"diverse":[62],"set":[63,81],"semantic,":[65],"temporal,":[66],"visualization":[68],"constraints":[69],"simultaneously.":[70],"For":[71],"each":[72],"derived":[73],"sub-topic,":[74],"our":[75,105],"also":[77],"automatically":[78],"selects":[79],"representative":[83],"keywords":[84],"summarize":[86],"the":[87,91,102],"main":[88],"sub-topic.":[92],"extensive":[94],"evaluation,":[95],"including":[96],"crowd-sourced":[98],"user":[99],"study,":[100],"demonstrates":[101],"effectiveness":[103],"method":[106],"an":[108],"existing":[109],"baseline.":[110]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
