{"id":"https://openalex.org/W1979863690","doi":"https://doi.org/10.1109/vast.2010.5652931","title":"Understanding text corpora with multiple facets","display_name":"Understanding text corpora with multiple facets","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W1979863690","doi":"https://doi.org/10.1109/vast.2010.5652931","mag":"1979863690"},"language":"en","primary_location":{"id":"doi:10.1109/vast.2010.5652931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2010.5652931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Symposium on Visual Analytics Science and Technology","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/A5100658547","display_name":"Lei Shi","orcid":"https://orcid.org/0009-0000-6050-0144"},"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":true,"raw_author_name":"Lei Shi","raw_affiliation_strings":["IBM Research China, Beijing, China","IBM Research - China, 19 Zhongguancun Software Park, Beijing 100193, China"],"affiliations":[{"raw_affiliation_string":"IBM Research China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM Research - China, 19 Zhongguancun Software Park, Beijing 100193, China","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014662947","display_name":"Furu Wei","orcid":"https://orcid.org/0000-0002-7810-5852"},"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":"Furu Wei","raw_affiliation_strings":["IBM Research China, Beijing, China","IBM Research - China, 19 Zhongguancun Software Park, Beijing 100193, China"],"affiliations":[{"raw_affiliation_string":"IBM Research China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM Research - China, 19 Zhongguancun Software Park, Beijing 100193, China","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038775008","display_name":"Shi\u2010Xia Liu","orcid":"https://orcid.org/0000-0001-6104-4320"},"institutions":[{"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"]},{"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"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Shixia Liu","raw_affiliation_strings":["IBM Research China, Beijing, China","IBM Research - China, 19 Zhongguancun Software Park, Beijing 100193, China"],"affiliations":[{"raw_affiliation_string":"IBM Research China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM Research - China, 19 Zhongguancun Software Park, Beijing 100193, China","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065822896","display_name":"Li Tan","orcid":"https://orcid.org/0000-0002-2786-5958"},"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":"Li Tan","raw_affiliation_strings":["IBM Research China, Beijing, China","IBM Research - China, 19 Zhongguancun Software Park, Beijing 100193, China"],"affiliations":[{"raw_affiliation_string":"IBM Research China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM Research - China, 19 Zhongguancun Software Park, Beijing 100193, China","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088209296","display_name":"Xiaoxiao Lian","orcid":null},"institutions":[{"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"]},{"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"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xiaoxiao Lian","raw_affiliation_strings":["IBM Research China, Beijing, China","IBM Research - China, 19 Zhongguancun Software Park, Beijing 100193, China"],"affiliations":[{"raw_affiliation_string":"IBM Research China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"IBM Research - China, 19 Zhongguancun Software Park, Beijing 100193, China","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","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, San Jose, CA, USA","IBM Research-Almaden, 650 Harry Road, San Jose, CA 95120, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research Almaden, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Research-Almaden, 650 Harry Road, San Jose, CA 95120, USA","institution_ids":["https://openalex.org/I4210085935"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100658547"],"corresponding_institution_ids":["https://openalex.org/I1341412227","https://openalex.org/I4210126794"],"apc_list":null,"apc_paid":null,"fwci":8.0812,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.97866508,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9944999814033508,"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":0.991599977016449,"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":0.841611921787262},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.685923159122467},{"id":"https://openalex.org/keywords/tag-cloud","display_name":"Tag cloud","score":0.6842852234840393},{"id":"https://openalex.org/keywords/facet","display_name":"Facet (psychology)","score":0.5045813322067261},{"id":"https://openalex.org/keywords/text-corpus","display_name":"Text corpus","score":0.5012614727020264},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.48150643706321716},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48102813959121704},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.472700834274292},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4700808823108673},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4631570875644684},{"id":"https://openalex.org/keywords/text-graph","display_name":"Text graph","score":0.4293590486049652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4087457060813904},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.26582837104797363},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.2314891517162323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1372402012348175},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12237608432769775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.841611921787262},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.685923159122467},{"id":"https://openalex.org/C26983874","wikidata":"https://www.wikidata.org/wiki/Q263864","display_name":"Tag cloud","level":3,"score":0.6842852234840393},{"id":"https://openalex.org/C43122875","wikidata":"https://www.wikidata.org/wiki/Q5428522","display_name":"Facet (psychology)","level":4,"score":0.5045813322067261},{"id":"https://openalex.org/C2474386","wikidata":"https://www.wikidata.org/wiki/Q461183","display_name":"Text corpus","level":2,"score":0.5012614727020264},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.48150643706321716},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48102813959121704},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.472700834274292},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4700808823108673},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4631570875644684},{"id":"https://openalex.org/C66945725","wikidata":"https://www.wikidata.org/wiki/Q18388823","display_name":"Text graph","level":3,"score":0.4293590486049652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4087457060813904},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.26582837104797363},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.2314891517162323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1372402012348175},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12237608432769775},{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C2865642","wikidata":"https://www.wikidata.org/wiki/Q378132","display_name":"Big Five personality traits","level":3,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vast.2010.5652931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2010.5652931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Symposium on Visual Analytics Science and Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.411.8953","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.411.8953","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/VAST_20100727_FINAL.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322449","display_name":"Tongji University","ror":"https://ror.org/03rc6as71"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W42729272","https://openalex.org/W1880262756","https://openalex.org/W1956559956","https://openalex.org/W1992419399","https://openalex.org/W2016268421","https://openalex.org/W2033319677","https://openalex.org/W2050023720","https://openalex.org/W2071066826","https://openalex.org/W2075038621","https://openalex.org/W2096815466","https://openalex.org/W2101445598","https://openalex.org/W2106738877","https://openalex.org/W2107743791","https://openalex.org/W2108808118","https://openalex.org/W2134056613","https://openalex.org/W2135576300","https://openalex.org/W2141233457","https://openalex.org/W2141880430","https://openalex.org/W2143079781","https://openalex.org/W2145436368","https://openalex.org/W2147152072","https://openalex.org/W2158231614","https://openalex.org/W2165662062","https://openalex.org/W2167983404","https://openalex.org/W2169700383","https://openalex.org/W2171240564","https://openalex.org/W2325227998","https://openalex.org/W4231510805","https://openalex.org/W4233135949","https://openalex.org/W4248481136","https://openalex.org/W6601695440","https://openalex.org/W6639619044","https://openalex.org/W6675376478","https://openalex.org/W6679803508","https://openalex.org/W6681177789"],"related_works":["https://openalex.org/W2498745440","https://openalex.org/W1979800236","https://openalex.org/W2026926350","https://openalex.org/W1246225575","https://openalex.org/W3203889067","https://openalex.org/W3184725726","https://openalex.org/W2606355440","https://openalex.org/W2602957669","https://openalex.org/W1979863690","https://openalex.org/W3005500232"],"abstract_inverted_index":{"Text":[0],"visualization":[1,102],"becomes":[2],"an":[3],"increasingly":[4],"more":[5,148],"important":[6],"research":[7],"topic":[8],"as":[9],"the":[10,46,69,91,105,112,158],"need":[11],"to":[12,19,33,38,45,65,141,156],"understand":[13,90],"massive-scale":[14],"textual":[15],"information":[16],"is":[17,29],"proven":[18],"be":[20,63],"imperative":[21],"for":[22],"many":[23],"people":[24,125,140],"and":[25,48,86,128],"businesses.":[26],"However,":[27],"it":[28],"still":[30],"very":[31],"challenging":[32],"design":[34],"effective":[35],"visual":[36,121,135,167],"metaphors":[37],"represent":[39,66],"large":[40],"corpora":[41],"of":[42,51,68,80,115,160,165,169],"text":[43,70,144,170],"due":[44],"unstructured":[47],"high-dimensional":[49],"nature":[50],"text.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56,98,131,151],"propose":[57],"a":[58,73,95,100],"data":[59,74,96,116],"model":[60,75],"that":[61,138],"can":[62],"used":[64],"most":[67],"corpora.":[71,171],"Such":[72],"contains":[76],"four":[77,113,119],"basic":[78],"types":[79,114],"facets:":[81],"time,":[82],"category,":[83],"content":[84],"(unstructured),":[85],"structured":[87],"facet.":[88],"To":[89,123],"corpus":[92],"with":[93,108,118],"such":[94],"model,":[97],"develop":[99,133],"hybrid":[101],"by":[103,145],"combining":[104],"trend":[106],"graph":[107],"tag-clouds.":[109],"We":[110],"encode":[111],"facets":[117],"separate":[120],"dimensions.":[122],"help":[124],"discover":[126],"evolutionary":[127],"correlation":[129],"patterns,":[130],"also":[132],"several":[134],"interaction":[136],"methods":[137],"allow":[139],"interactively":[142],"analyze":[143],"one":[146],"or":[147],"facets.":[149],"Finally,":[150],"present":[152],"two":[153],"case":[154],"studies":[155],"demonstrate":[157],"effectiveness":[159],"our":[161],"solution":[162],"in":[163],"support":[164],"multi-faceted":[166],"analysis":[168]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}