{"id":"https://openalex.org/W2157574662","doi":"https://doi.org/10.1177/0165551512457893","title":"Topic segmentation model based on ATNLDA and co-occurrence theory and its application in stem cell field","display_name":"Topic segmentation model based on ATNLDA and co-occurrence theory and its application in stem cell field","publication_year":2012,"publication_date":"2012-12-07","ids":{"openalex":"https://openalex.org/W2157574662","doi":"https://doi.org/10.1177/0165551512457893","mag":"2157574662"},"language":"en","primary_location":{"id":"doi:10.1177/0165551512457893","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551512457893","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-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/A5103008255","display_name":"Qingqiang Wu","orcid":"https://orcid.org/0000-0001-7428-5908"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"QingQiang Wu","raw_affiliation_strings":["School of Software, Xiamen University, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Xiamen University, P.R. China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085268965","display_name":"Caidong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"CaiDong Zhang","raw_affiliation_strings":["School of Software, Xiamen University, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Xiamen University, P.R. China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100897311","display_name":"Xinying An","orcid":null},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"XinYing An","raw_affiliation_strings":["Institute of Medical Information, Chinese Academy of Medical Sciences, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Medical Information, Chinese Academy of Medical Sciences, P.R. China","institution_ids":["https://openalex.org/I200296433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":23.9428,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.99279076,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"39","issue":"3","first_page":"319","last_page":"332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9904999732971191,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.965499997138977,"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/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.8639676570892334},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.7853749990463257},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6516047716140747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6093922853469849},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5867735147476196},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4958523213863373},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.4649822413921356},{"id":"https://openalex.org/keywords/judgement","display_name":"Judgement","score":0.4511588513851166},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44212740659713745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3886984586715698},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36540162563323975},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36293062567710876},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.08018237352371216}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.8639676570892334},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.7853749990463257},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6516047716140747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6093922853469849},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5867735147476196},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4958523213863373},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.4649822413921356},{"id":"https://openalex.org/C2776548248","wikidata":"https://www.wikidata.org/wiki/Q12621536","display_name":"Judgement","level":2,"score":0.4511588513851166},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44212740659713745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3886984586715698},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36540162563323975},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36293062567710876},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.08018237352371216},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0165551512457893","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551512457893","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5199999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W7939015","https://openalex.org/W178169250","https://openalex.org/W340682576","https://openalex.org/W1537982310","https://openalex.org/W1559665635","https://openalex.org/W1880262756","https://openalex.org/W1915315806","https://openalex.org/W1969486090","https://openalex.org/W1970859146","https://openalex.org/W1975594954","https://openalex.org/W1978291089","https://openalex.org/W1984558542","https://openalex.org/W2022796817","https://openalex.org/W2040466507","https://openalex.org/W2042980227","https://openalex.org/W2066020734","https://openalex.org/W2072644219","https://openalex.org/W2092669241","https://openalex.org/W2093824416","https://openalex.org/W2098047130","https://openalex.org/W2099038201","https://openalex.org/W2110591510","https://openalex.org/W2110642088","https://openalex.org/W2118645678","https://openalex.org/W2123455699","https://openalex.org/W2129294185","https://openalex.org/W2135696593","https://openalex.org/W2136231993","https://openalex.org/W2142944882","https://openalex.org/W2166900514","https://openalex.org/W2169606435","https://openalex.org/W2171343266","https://openalex.org/W2487779721","https://openalex.org/W2597289420","https://openalex.org/W2962815862","https://openalex.org/W3098217728","https://openalex.org/W4248923238","https://openalex.org/W4285719527","https://openalex.org/W4298204353","https://openalex.org/W4300874750"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W4293863151","https://openalex.org/W3159709618","https://openalex.org/W4309228610","https://openalex.org/W4294597112"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,22,56],"application":[4,112],"of":[5,21,24,60,78,98,113,129],"co-occurrence":[6,32],"and":[7,34,38,104,125,131],"latent":[8],"Dirichlet":[9],"allocation":[10],"(LDA)-based":[11],"topic":[12,48,58,76,99,101,116],"analyses":[13],"in":[14,27,69,81,96,115,118],"stem":[15,61,82,87,119],"cell-related":[16],"literature":[17,121],"research.":[18],"On":[19],"account":[20],"deficiency":[23],"parameter":[25],"estimation":[26],"LDA,":[28],"this":[29],"study":[30,133],"integrated":[31],"theory":[33],"clustering":[35],"judgement":[36],"indicators":[37],"constructed":[39],"an":[40],"ATNLDA":[41,51,114,130],"(Auto":[42],"Topic":[43],"Number":[44],"LDA)":[45],"model":[46],"for":[47,75],"segmentation.":[49],"Next,":[50],"was":[52,72],"used":[53,74],"to":[54,67],"determine":[55],"optimal":[57],"number":[59],"cell":[62,83,88,120],"research":[63,79,89,102,122],"literatures":[64],"from":[65],"2006":[66],"2011":[68],"PubMed,":[70],"which":[71],"then":[73],"segmentation":[77,117],"content":[80,103],"data":[84],"set.":[85],"After":[86],"topics":[90],"were":[91,94,135],"obtained,":[92],"they":[93],"analysed":[95],"terms":[97],"label,":[100],"interrelation":[105],"between":[106],"topics.":[107],"The":[108],"results":[109],"verified":[110],"that":[111],"is":[123],"effective":[124],"feasible.":[126],"Current":[127],"deficiencies":[128],"future":[132],"plan":[134],"also":[136],"discussed.":[137]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
