{"id":"https://openalex.org/W2984444757","doi":"https://doi.org/10.1145/3356422.3356449","title":"How to Improve Semantics Understanding of Word Clouds","display_name":"How to Improve Semantics Understanding of Word Clouds","publication_year":2019,"publication_date":"2019-09-20","ids":{"openalex":"https://openalex.org/W2984444757","doi":"https://doi.org/10.1145/3356422.3356449","mag":"2984444757"},"language":"en","primary_location":{"id":"doi:10.1145/3356422.3356449","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356422.3356449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Symposium on Visual Information Communication and Interaction","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/A5009830115","display_name":"Lu Yang","orcid":"https://orcid.org/0000-0002-2485-3353"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lu Yang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679241","display_name":"Jie Li","orcid":"https://orcid.org/0000-0002-4974-6116"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082286929","display_name":"Wenhuan Lu","orcid":"https://orcid.org/0000-0002-7951-8907"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhuan Lu","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613649","display_name":"Yi Chen","orcid":"https://orcid.org/0000-0002-4141-0554"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Chen","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing, Technology and Business University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing, Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432244","display_name":"Kang Zhang","orcid":"https://orcid.org/0000-0003-3802-7535"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kang Zhang","raw_affiliation_strings":["The University of Texas at Dallas, Dallas, Texas"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas, Dallas, Texas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100443880","display_name":"Yan Li","orcid":"https://orcid.org/0000-0001-8137-3084"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5009830115"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.12456073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9751999974250793,"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/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.8278236985206604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8260470628738403},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.7150495052337646},{"id":"https://openalex.org/keywords/tag-cloud","display_name":"Tag cloud","score":0.6354725360870361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6173961758613586},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6067856550216675},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5696319341659546},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.531525194644928},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.49574217200279236},{"id":"https://openalex.org/keywords/font","display_name":"Font","score":0.4913312494754791},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.4197682738304138},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.39404451847076416},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12418466806411743}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.8278236985206604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8260470628738403},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7150495052337646},{"id":"https://openalex.org/C26983874","wikidata":"https://www.wikidata.org/wiki/Q263864","display_name":"Tag cloud","level":3,"score":0.6354725360870361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6173961758613586},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6067856550216675},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5696319341659546},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.531525194644928},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.49574217200279236},{"id":"https://openalex.org/C2777737414","wikidata":"https://www.wikidata.org/wiki/Q4868296","display_name":"Font","level":2,"score":0.4913312494754791},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.4197682738304138},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.39404451847076416},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12418466806411743},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3356422.3356449","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356422.3356449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Symposium on Visual Information Communication and Interaction","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-158984","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-158984","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":0.75,"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":23,"referenced_works":["https://openalex.org/W32482440","https://openalex.org/W99538960","https://openalex.org/W1479797105","https://openalex.org/W1936948608","https://openalex.org/W1965667542","https://openalex.org/W1970773000","https://openalex.org/W2108105891","https://openalex.org/W2114149671","https://openalex.org/W2122580360","https://openalex.org/W2133205243","https://openalex.org/W2141558464","https://openalex.org/W2142324212","https://openalex.org/W2150206717","https://openalex.org/W2152941631","https://openalex.org/W2158512572","https://openalex.org/W2163803148","https://openalex.org/W2291220252","https://openalex.org/W2347157794","https://openalex.org/W2734073415","https://openalex.org/W2753545800","https://openalex.org/W2915412380","https://openalex.org/W4231510805","https://openalex.org/W4235375376"],"related_works":["https://openalex.org/W2995939990","https://openalex.org/W2921491680","https://openalex.org/W2914864478","https://openalex.org/W2402771052","https://openalex.org/W2474958513","https://openalex.org/W2035259174","https://openalex.org/W2049446342","https://openalex.org/W2399309132","https://openalex.org/W3005513013","https://openalex.org/W3167917202"],"abstract_inverted_index":{"Word":[0],"cloud":[1],"is":[2,8,25],"a":[3,34],"text":[4],"visualization":[5],"technique":[6],"which":[7,29],"widely":[9],"applied":[10],"in":[11,39,106],"helping":[12],"improve":[13],"semantic":[14,55,98,108],"understanding":[15,56,99,109],"about":[16],"target":[17],"materials.":[18],"One":[19],"of":[20,33,49,79,93,110],"the":[21,26,37,80,91],"most":[22],"important":[23],"features":[24],"font":[27,47,95],"size,":[28],"represents":[30],"words":[31],"frequencies":[32],"document.":[35],"As":[36],"result,":[38],"this":[40],"paper,":[41],"we":[42,76],"explore":[43],"how":[44],"to":[45],"set":[46],"sizes":[48],"words,":[50],"and":[51,62,82,101],"its":[52],"influence":[53,92],"on":[54,97],"through":[57],"people's":[58],"performance":[59,100],"with":[60],"qualitative":[61],"controlled":[63],"experiments.":[64],"Adopting":[65],"an":[66],"machine":[67],"learning":[68],"algorithm":[69],"LDA":[70],"(Latent":[71],"Dirichlet":[72],"Allocation)":[73],"topic":[74],"model,":[75],"quantify":[77],"semantics":[78],"document":[81],"judge":[83],"participants'":[84],"accuracy":[85],"performance.":[86],"The":[87],"experimental":[88],"results":[89],"show":[90],"different":[94],"size":[96],"provide":[102],"insights":[103],"for":[104],"ways":[105],"promoting":[107],"word":[111],"cloud.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}