{"id":"https://openalex.org/W2757408229","doi":"https://doi.org/10.2312/eurp.20171168","title":"A Visual Approach for Text Analysis Using Multiword Topics","display_name":"A Visual Approach for Text Analysis Using Multiword Topics","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2757408229","doi":"https://doi.org/10.2312/eurp.20171168","mag":"2757408229"},"language":"en","primary_location":{"id":"pmh:oai:HAL:halshs-01590990v1","is_oa":true,"landing_page_url":"https://shs.hal.science/halshs-01590990","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://eurovis2017.virvig.es/","raw_type":"Conference papers"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://shs.hal.science/halshs-01590990","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070183359","display_name":"Seongmin Mun","orcid":"https://orcid.org/0000-0002-7289-5320"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Mun, Seongmin","raw_affiliation_strings":["Ajou University"],"affiliations":[{"raw_affiliation_string":"Ajou University","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003563648","display_name":"Guillaume Desagulier","orcid":"https://orcid.org/0000-0003-4895-0788"},"institutions":[{"id":"https://openalex.org/I4210131706","display_name":"Mod\u00e8les Dynamiques Corpus","ror":"https://ror.org/03x6a1n79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I40434647","https://openalex.org/I4210131706","https://openalex.org/I4210150854"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Desagulier, Guillaume","raw_affiliation_strings":["Mod\u00e8les, Dynamiques, Corpus"],"affiliations":[{"raw_affiliation_string":"Mod\u00e8les, Dynamiques, Corpus","institution_ids":["https://openalex.org/I4210131706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100689507","display_name":"Kyungwon Lee","orcid":"https://orcid.org/0000-0003-3756-3985"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Lee, Kyungwon","raw_affiliation_strings":["Ajou University,"],"affiliations":[{"raw_affiliation_string":"Ajou University,","institution_ids":["https://openalex.org/I57664883"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070183359"],"corresponding_institution_ids":["https://openalex.org/I57664883"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9883999824523926,"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":0.9883999824523926,"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":0.9143000245094299,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8413673639297485},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7154930830001831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.601486325263977},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5853620171546936},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.5132551193237305},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4681418538093567},{"id":"https://openalex.org/keywords/tag-cloud","display_name":"Tag cloud","score":0.4340217709541321},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.29327717423439026},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.20831477642059326}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8413673639297485},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7154930830001831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.601486325263977},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5853620171546936},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.5132551193237305},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4681418538093567},{"id":"https://openalex.org/C26983874","wikidata":"https://www.wikidata.org/wiki/Q263864","display_name":"Tag cloud","level":3,"score":0.4340217709541321},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.29327717423439026},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.20831477642059326},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:HAL:halshs-01590990v1","is_oa":true,"landing_page_url":"https://shs.hal.science/halshs-01590990","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://eurovis2017.virvig.es/","raw_type":"Conference papers"},{"id":"doi:10.2312/eurp.20171168","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eurp.20171168","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2757408229","is_oa":false,"landing_page_url":"https://diglib.eg.org/handle/10.2312/eurp20171168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:HAL:halshs-01590990v1","is_oa":true,"landing_page_url":"https://shs.hal.science/halshs-01590990","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://eurovis2017.virvig.es/","raw_type":"Conference papers"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.41999998688697815},{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G8784452824","display_name":null,"funder_award_id":"NRF-2015S1A5B6037107","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8952370644","display_name":null,"funder_award_id":"NRF-2015","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G982292920","display_name":null,"funder_award_id":"NRF-20","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321354","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2889387716","https://openalex.org/W2316377833","https://openalex.org/W2177323435","https://openalex.org/W1499182410","https://openalex.org/W2618569800","https://openalex.org/W2588582073","https://openalex.org/W2963006164","https://openalex.org/W3123271051","https://openalex.org/W2523221575","https://openalex.org/W2911243414","https://openalex.org/W2758857949","https://openalex.org/W3162314704","https://openalex.org/W2884891980","https://openalex.org/W2900484379","https://openalex.org/W1542211565","https://openalex.org/W2405565204","https://openalex.org/W2594210522","https://openalex.org/W2400799293","https://openalex.org/W1587290206","https://openalex.org/W1840615776"],"abstract_inverted_index":{"Topics":[0,20],"in":[1,34,41,183],"a":[2,14,44,60,81,160],"text":[3,99],"corpus":[4,114],"include":[5],"features":[6],"and":[7,37,57,163,177,188,207],"information;":[8],"visualizing":[9],"these":[10],"topics":[11,69],"can":[12,21,31,51,152,191],"improve":[13],"user's":[15],"understanding":[16],"of":[17,46,59,62,67,100,144,156,181,198,209],"the":[18,98,128,141,148,154,166,169,178,184,205],"corpus.":[19,171],"be":[22,32,52,192],"broadly":[23],"divided":[24,120],"into":[25,121],"two":[26,122,173],"categories:":[27],"those":[28,38],"whose":[29,39],"meaning":[30,40],"described":[33,53],"one":[35],"word":[36,91,161],"expressed":[42],"through":[43],"combination":[45,61],"words.":[47,64],"The":[48],"latter":[49],"type":[50],"as":[54,113],"multiword":[55,68,133,145],"expressions":[56],"consists":[58],"different":[63],"However,":[65],"analysis":[66,72],"requires":[70],"systematic":[71],"to":[73,110],"extract":[74],"accurate":[75,85,142],"topic":[76,87],"results.":[77],"Therefore,":[78],"we":[79,96,138,203],"propose":[80],"visual":[82,117],"system":[83,118,126],"that":[84],"extracts":[86],"results":[88],"with":[89,159,168],"multiple":[90],"combinations.":[92],"For":[93],"this":[94,157,195],"study,":[95],"utilize":[97],"957":[101],"speeches":[102],"from":[103],"43":[104],"U.S.":[105,199],"presidents":[106,189],"(from":[107],"George":[108],"Washington":[109],"Barack":[111],"Obama)":[112],"data.":[115],"Our":[116],"is":[119],"parts:":[123],"First,":[124],"our":[125,210],"refines":[127],"database":[129],"by":[130],"topic,":[131],"including":[132],"topics.":[134,146],"Through":[135],"data":[136],"processing,":[137],"systematically":[139],"analyze":[140],"extraction":[143],"In":[147,194],"second":[149],"part,":[150],"users":[151],"confirm":[153],"details":[155],"result":[158,167],"cloud":[162],"simultaneously":[164],"verify":[165,204],"raw":[170],"These":[172],"parts":[174],"are":[175],"synchronized":[176],"desired":[179],"value":[180],"N":[182],"N-gram":[185],"model,":[186],"topics,":[187],"examined":[190],"altered.":[193],"case":[196],"study":[197],"presidential":[200],"speech":[201],"data,":[202],"effectiveness":[206],"usability":[208],"system.":[211]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}