{"id":"https://openalex.org/W2904965295","doi":"https://doi.org/10.1109/geoinformatics.2018.8557113","title":"A Survey of Statistical Topic Model for Multi-Label Classification","display_name":"A Survey of Statistical Topic Model for Multi-Label Classification","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2904965295","doi":"https://doi.org/10.1109/geoinformatics.2018.8557113","mag":"2904965295"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2018.8557113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2018.8557113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th International Conference on Geoinformatics","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/A5100383342","display_name":"Lin Liu","orcid":"https://orcid.org/0000-0003-2843-5738"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Liu","raw_affiliation_strings":["Yunnan Normal University Kunming, School of Information, Yunnan, China","School of Information, Yunnan Normal University Kunming, Yunnan, China"],"affiliations":[{"raw_affiliation_string":"Yunnan Normal University Kunming, School of Information, Yunnan, China","institution_ids":["https://openalex.org/I120825670"]},{"raw_affiliation_string":"School of Information, Yunnan Normal University Kunming, Yunnan, China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064085134","display_name":"Lin Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]},{"id":"https://openalex.org/I142861451","display_name":"Yunnan Nationalities University","ror":"https://ror.org/030jhb479","country_code":"CN","type":"education","lineage":["https://openalex.org/I142861451"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Tang","raw_affiliation_strings":["Yunnan Normal University Kunming, Key Laboratory of Educational Informatization for Nationalities Ministry of Education, Yunnan, China","Key Laboratory of Educational Informatization for Nationalities Ministry of Education, Yunnan Normal University Kunming, Yunnan, China"],"affiliations":[{"raw_affiliation_string":"Yunnan Normal University Kunming, Key Laboratory of Educational Informatization for Nationalities Ministry of Education, Yunnan, China","institution_ids":["https://openalex.org/I120825670","https://openalex.org/I142861451"]},{"raw_affiliation_string":"Key Laboratory of Educational Informatization for Nationalities Ministry of Education, Yunnan Normal University Kunming, Yunnan, China","institution_ids":["https://openalex.org/I120825670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100383342"],"corresponding_institution_ids":["https://openalex.org/I120825670"],"apc_list":null,"apc_paid":null,"fwci":0.3258,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68995065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9991000294685364,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9991000294685364,"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":0.9975000023841858,"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":0.9943000078201294,"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":0.8240178823471069},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.7496820092201233},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5561451315879822},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.54047030210495},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5219968557357788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5169653296470642},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5040942430496216},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.49898838996887207},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.44161397218704224},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.4234042465686798},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.4162513017654419},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3695552349090576},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15669479966163635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8240178823471069},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.7496820092201233},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5561451315879822},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.54047030210495},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5219968557357788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5169653296470642},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5040942430496216},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.49898838996887207},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.44161397218704224},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.4234042465686798},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.4162513017654419},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3695552349090576},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15669479966163635},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2018.8557113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2018.8557113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W105852025","https://openalex.org/W1880262756","https://openalex.org/W2001082470","https://openalex.org/W2074909580","https://openalex.org/W2111847741","https://openalex.org/W2130428211","https://openalex.org/W2250239827","https://openalex.org/W2610411706","https://openalex.org/W2619000553","https://openalex.org/W2775653686","https://openalex.org/W6679563517"],"related_works":["https://openalex.org/W2359776416","https://openalex.org/W2353788488","https://openalex.org/W2361916204","https://openalex.org/W3200230513","https://openalex.org/W2372011046","https://openalex.org/W2387495973","https://openalex.org/W2347464726","https://openalex.org/W2375704815","https://openalex.org/W2769501189","https://openalex.org/W2023440853"],"abstract_inverted_index":{"Much":[0],"of":[1,52,81,88,98,109,121],"texts":[2],"embedded":[3],"in":[4],"Web":[5],"is":[6,26,44,62,77,113],"annotated":[7],"with":[8],"human":[9],"interpretable":[10],"labels,":[11,93],"such":[12],"as":[13],"tags":[14],"on":[15,85],"web":[16],"pages":[17],"and":[18,69,92,102],"subject.":[19],"Statistic":[20],"topic":[21,42,59,75,100,123],"model":[22,43,76],"for":[23],"multi-label":[24,74,99,122],"classification":[25],"a":[27,45],"power":[28],"technology":[29],"to":[30,63,117],"handle":[31],"the":[32,37,50,65,86,107,114,119],"multi-labeled":[33],"textual":[34],"data":[35],"at":[36],"word":[38],"level.":[39],"However,":[40],"standard":[41],"completely":[46],"unsupervised":[47],"algorithm.":[48],"Therefore,":[49],"key":[51],"incorporating":[53],"supervised":[54],"label":[55],"set":[56],"into":[57],"its":[58],"modeling":[60],"procedure":[61],"establish":[64],"relationship":[66,89],"between":[67,90],"topics":[68,91],"labels.":[70],"In":[71],"this":[72,112],"paper,":[73],"summarized":[78],"by":[79],"analysis":[80],"existing":[82],"studies;":[83],"especially,":[84],"basis":[87],"we":[94],"describe":[95],"four":[96],"categories":[97],"model,":[101],"their":[103],"reprehensive":[104],"models.":[105,124],"To":[106],"best":[108],"our":[110],"knowledge,":[111],"first":[115],"effort":[116],"review":[118],"development":[120]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
