{"id":"https://openalex.org/W2910828880","doi":"https://doi.org/10.1109/access.2019.2891902","title":"Hierarchical Topic Modeling of Twitter Data for Online Analytical Processing","display_name":"Hierarchical Topic Modeling of Twitter Data for Online Analytical Processing","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2910828880","doi":"https://doi.org/10.1109/access.2019.2891902","mag":"2910828880"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2891902","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2891902","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08607040.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08607040.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042936370","display_name":"Dongjin Yu","orcid":"https://orcid.org/0000-0001-8919-1613"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongjin Yu","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8919-1613","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065300698","display_name":"Dengwei Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengwei Xu","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043738330","display_name":"Dongjing Wang","orcid":"https://orcid.org/0000-0003-2152-0446"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongjing Wang","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062432530","display_name":"Zhiyong Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Ni","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":12.6961,"has_fulltext":true,"cited_by_count":54,"citation_normalized_percentile":{"value":0.98584559,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"12373","last_page":"12385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9962000250816345,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"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":0.8885327577590942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8114545345306396},{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"Online analytical processing","score":0.7847129106521606},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6858679056167603},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6762105226516724},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6733959913253784},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.5460888743400574},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5454259514808655},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5176111459732056},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.45616206526756287},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40157437324523926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3416185677051544},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.32028067111968994},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.29397422075271606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20777425169944763}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.8885327577590942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8114545345306396},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.7847129106521606},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6858679056167603},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6762105226516724},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6733959913253784},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.5460888743400574},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5454259514808655},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5176111459732056},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.45616206526756287},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40157437324523926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3416185677051544},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.32028067111968994},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.29397422075271606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20777425169944763},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2891902","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2891902","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08607040.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:70844f8fab9043e3a157e1471edd8d61","is_oa":true,"landing_page_url":"https://doaj.org/article/70844f8fab9043e3a157e1471edd8d61","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 12373-12385 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2891902","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2891902","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08607040.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G5532928549","display_name":null,"funder_award_id":"2017C01010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G55407260","display_name":null,"funder_award_id":"2017C01010","funder_id":"https://openalex.org/F4320338469","funder_display_name":"Science and Technology Program of Zhejiang Province"},{"id":"https://openalex.org/G5580303820","display_name":null,"funder_award_id":"LY12F02003","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6392610502","display_name":null,"funder_award_id":"61472112","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6434322170","display_name":null,"funder_award_id":"61702144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7381332218","display_name":"\u57fa\u4e8e\u7528\u6237\u8bed\u4e49\u751f\u6210\u7684Web\u8d44\u6e90\u81ea\u7ec4\u7ec7\u4e0e\u5171\u4eab\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61472112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8013902662","display_name":null,"funder_award_id":"LY12F02003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338469","display_name":"Science and Technology Program of Zhejiang Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2910828880.pdf","grobid_xml":"https://content.openalex.org/works/W2910828880.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W5221400","https://openalex.org/W56136284","https://openalex.org/W184758014","https://openalex.org/W281100366","https://openalex.org/W1589940756","https://openalex.org/W1614298861","https://openalex.org/W1755948513","https://openalex.org/W1977640460","https://openalex.org/W2007973154","https://openalex.org/W2021651959","https://openalex.org/W2034315836","https://openalex.org/W2055981215","https://openalex.org/W2056985955","https://openalex.org/W2072764742","https://openalex.org/W2077563243","https://openalex.org/W2098062695","https://openalex.org/W2116235440","https://openalex.org/W2132827946","https://openalex.org/W2138759702","https://openalex.org/W2150286230","https://openalex.org/W2154099718","https://openalex.org/W2168332560","https://openalex.org/W2247241496","https://openalex.org/W2301011383","https://openalex.org/W2477497747","https://openalex.org/W2509219942","https://openalex.org/W2548887297","https://openalex.org/W2578882746","https://openalex.org/W2744312692","https://openalex.org/W2787421643","https://openalex.org/W2950477597","https://openalex.org/W2950577311","https://openalex.org/W4231831338","https://openalex.org/W4294170691","https://openalex.org/W6602324014","https://openalex.org/W6607443979","https://openalex.org/W6674735981","https://openalex.org/W6679439793","https://openalex.org/W6682691769","https://openalex.org/W6684485952"],"related_works":["https://openalex.org/W2378213774","https://openalex.org/W2357522326","https://openalex.org/W6138692","https://openalex.org/W2363019959","https://openalex.org/W1535822977","https://openalex.org/W23190051","https://openalex.org/W2367419170","https://openalex.org/W2377387014","https://openalex.org/W2382180329","https://openalex.org/W2375394542"],"abstract_inverted_index":{"Social":[0],"platforms,":[1,22],"such":[2],"as":[3],"Twitter,":[4],"reveal":[5],"much":[6],"about":[7],"the":[8,11,17,32,70,75,82,90,138,153,161,186,205],"tastes":[9],"of":[10,20,54,97,141,164,181,188,208],"public.":[12],"Many":[13],"studies":[14],"focus":[15],"on":[16,74,128,152,178],"content":[18,93],"analysis":[19],"social":[21,91,98],"which":[23,85,101,144],"assists":[24],"in":[25,166,201],"product":[26],"promotion":[27],"and":[28,68,184,203],"sentiment":[29],"investigation.":[30],"On":[31],"other":[33,197],"hand,":[34],"online":[35],"analytical":[36],"processing":[37],"(OLAP)":[38],"has":[39],"been":[40],"proven":[41],"to":[42,57,66,81,105,135,159,168],"be":[43,103,146],"very":[44],"effective":[45,109,172],"for":[46,149],"analyzing":[47],"multidimensional":[48],"structured":[49],"data.":[50],"The":[51,190],"key":[52],"purpose":[53],"applying":[55],"OLAP":[56,87,151],"text":[58,63,77,86,150],"messages,":[59],"(e.g.,":[60],"tweets),":[61],"called":[62,120],"OLAP,":[64],"is":[65],"mine":[67,137],"construct":[69],"hierarchical":[71,122,129,139,206],"dimension":[72,140,207],"based":[73],"unstructured":[76],"content.":[78],"In":[79,112],"contrast":[80],"plain":[83],"texts":[84],"usually":[88],"handles,":[89],"media":[92],"includes":[94],"a":[95,107,117,170],"wealth":[96],"relationship":[99],"information":[100],"can":[102,145],"employed":[104,148],"extract":[106],"more":[108,171],"dimensional":[110],"hierarchy.":[111],"this":[113],"paper,":[114],"we":[115],"propose":[116],"topic":[118,199],"model":[119],"twitter":[121],"latent":[123,130],"Dirichlet":[124,131],"allocation":[125],"(thLDA).":[126],"Based":[127],"allocation,":[132],"thLDA":[133,156],"aims":[134],"automatically":[136],"tweets'":[142],"topics,":[143],"further":[147],"tweets.":[154],"Furthermore,":[155],"uses":[157],"word2vec":[158],"analyze":[160],"semantic":[162],"relationships":[163],"words":[165],"tweets":[167],"obtain":[169],"dimension.":[173],"We":[174],"conduct":[175],"extensive":[176],"experiments":[177],"huge":[179],"quantities":[180],"Twitter":[182],"data":[183],"evaluate":[185],"effectiveness":[187],"thLDA.":[189],"experimental":[191],"results":[192],"demonstrate":[193],"that":[194],"it":[195],"outperforms":[196],"current":[198],"models":[200],"mining":[202],"constructing":[204],"tweeters'":[209],"topics.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
