{"id":"https://openalex.org/W2942765639","doi":"https://doi.org/10.1109/access.2019.2914097","title":"Research on Topic Detection and Tracking for Online News Texts","display_name":"Research on Topic Detection and Tracking for Online News Texts","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2942765639","doi":"https://doi.org/10.1109/access.2019.2914097","mag":"2942765639"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2914097","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2914097","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08703401.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/ielx7/6287639/8600701/08703401.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042529505","display_name":"Guixian Xu","orcid":"https://orcid.org/0000-0001-8815-479X"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guixian Xu","raw_affiliation_strings":["College of Information Engineering, Minzu University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8815-479X","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091768235","display_name":"Yueting Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueting Meng","raw_affiliation_strings":["College of Information Engineering, Minzu University of China, Beijing 100081, China","College of Information Engineering, Minzu University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Minzu University of China, Beijing 100081, China","institution_ids":["https://openalex.org/I145897649"]},{"raw_affiliation_string":"College of Information Engineering, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103075722","display_name":"Zhan Chen","orcid":"https://orcid.org/0009-0002-6039-0584"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Chen","raw_affiliation_strings":["College of Information Engineering, Minzu University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064585149","display_name":"Xiaoyu Qiu","orcid":"https://orcid.org/0000-0002-1593-2834"},"institutions":[{"id":"https://openalex.org/I134738993","display_name":"Shandong University of Traditional Chinese Medicine","ror":"https://ror.org/0523y5c19","country_code":"CN","type":"education","lineage":["https://openalex.org/I134738993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Qiu","raw_affiliation_strings":["Library, Shandong University of Traditional Chinese Medicine, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Library, Shandong University of Traditional Chinese Medicine, Jinan, China","institution_ids":["https://openalex.org/I134738993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103125980","display_name":"Changzhi Wang","orcid":"https://orcid.org/0000-0002-4055-1064"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changzhi Wang","raw_affiliation_strings":["Baidu APP Technology Platform Department, Baidu Company, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu APP Technology Platform Department, Baidu Company, Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017623842","display_name":"Haishen Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haishen Yao","raw_affiliation_strings":["College of Information Engineering, Minzu University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":7.937,"has_fulltext":true,"cited_by_count":83,"citation_normalized_percentile":{"value":0.97792384,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"58407","last_page":"58418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.991599977016449,"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"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.991599977016449,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9915000200271606,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9815999865531921,"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/computer-science","display_name":"Computer science","score":0.8152331113815308},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.8080443143844604},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.7648154497146606},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5900343060493469},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.555465579032898},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5381551384925842},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5199988484382629},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47317197918891907},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4693406820297241},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.43905341625213623},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43273210525512695},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.42289212346076965},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36255455017089844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3396962881088257},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20990288257598877},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.104535311460495}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8152331113815308},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.8080443143844604},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.7648154497146606},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5900343060493469},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.555465579032898},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5381551384925842},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5199988484382629},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47317197918891907},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4693406820297241},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.43905341625213623},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43273210525512695},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.42289212346076965},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36255455017089844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3396962881088257},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20990288257598877},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.104535311460495},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2914097","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2914097","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08703401.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:5a81b287c9274174b1dd19a0ace8d530","is_oa":true,"landing_page_url":"https://doaj.org/article/5a81b287c9274174b1dd19a0ace8d530","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 58407-58418 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2914097","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2914097","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08703401.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":[],"awards":[{"id":"https://openalex.org/G362016072","display_name":null,"funder_award_id":"2018[10038]","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G3816358513","display_name":null,"funder_award_id":"18YJA740059","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2942765639.pdf","grobid_xml":"https://content.openalex.org/works/W2942765639.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W80463681","https://openalex.org/W2001082470","https://openalex.org/W2015985014","https://openalex.org/W2040466507","https://openalex.org/W2068482742","https://openalex.org/W2110642088","https://openalex.org/W2116019577","https://openalex.org/W2165599843","https://openalex.org/W2348762029","https://openalex.org/W2365299969","https://openalex.org/W2365679786","https://openalex.org/W2368965843","https://openalex.org/W2371535289","https://openalex.org/W2540832166","https://openalex.org/W2803895891","https://openalex.org/W2903606428","https://openalex.org/W6684489972"],"related_works":["https://openalex.org/W2769501189","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013","https://openalex.org/W2352674739"],"abstract_inverted_index":{"With":[0],"the":[1,5,7,15,18,24,31,35,45,65,71,87,101,108,113,128,141,148,157,175,179,187,192,196,199,203,207,219,227,232],"rapid":[2],"development":[3,69],"of":[4,9,20,37,47,55,67,89,105,150,198,206,234],"Internet,":[6],"amount":[8],"data":[10,22,40],"has":[11,51],"grown":[12],"exponentially.":[13],"On":[14,30],"one":[16],"hand,":[17,33],"accumulation":[19],"big":[21],"provides":[23],"basic":[25],"support":[26],"for":[27,86,153],"artificial":[28],"intelligence.":[29],"other":[32],"in":[34,96,107,209],"face":[36],"such":[38],"huge":[39,72],"information,":[41],"how":[42],"to":[43,63,99,121,134,146,163,173,185],"extract":[44,122],"knowledge":[46],"interest":[48],"from":[49,70,124],"it":[50],"become":[52],"a":[53,84],"matter":[54],"general":[56],"concern.":[57],"Topic":[58],"tracking":[59,102],"can":[60,222],"help":[61],"people":[62],"explore":[64],"process":[66],"topic":[68,138,154,176,201,208,228,235],"and":[73,103,127,178,202,225,229],"complex":[74],"network":[75],"texts":[76,126],"information.":[77],"By":[78],"effectively":[79,223],"organizing":[80],"large-scale":[81],"news":[82,90,109,125,165,200],"documents,":[83],"method":[85,131,143,221],"evolution":[88,104],"topics":[91,106,123,190],"over":[92],"time":[93,180,211],"is":[94,119,132,144,161,171,183],"proposed":[95,220],"this":[97],"paper":[98],"realize":[100],"text":[110],"set.":[111],"First,":[112],"LDA":[114,152],"(latent":[115],"Dirichlet":[116],"allocation)":[117],"model":[118],"used":[120,133,162,172],"Gibbs":[129],"Sampling":[130],"speculate":[135],"parameters.":[136],"The":[137,167,215],"mining":[139],"using":[140,151],"K-means":[142],"compared":[145],"highlight":[147],"advantages":[149],"discovery.":[155],"Second,":[156],"improved":[158],"single-pass":[159],"algorithm":[160],"track":[164,226],"topics.":[166],"JS":[168],"(Jensen-Shannon)":[169],"divergence":[170],"measure":[174],"similarity,":[177],"decay":[181],"function":[182],"introduced":[184],"improve":[186],"similarity":[188],"between":[189],"with":[191],"similar":[193],"time.":[194],"Finally,":[195],"strength":[197],"content":[204],"change":[205],"different":[210],"windows":[212],"are":[213],"analyzed.":[214],"experiments":[216],"show":[217],"that":[218],"detect":[224],"clearly":[230],"reflect":[231],"trend":[233],"evolution.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":8}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
