{"id":"https://openalex.org/W2911777412","doi":"https://doi.org/10.1109/access.2019.2897475","title":"Research on Topic Recognition of Network Sensitive Information Based on SW-LDA Model","display_name":"Research on Topic Recognition of Network Sensitive Information Based on SW-LDA Model","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2911777412","doi":"https://doi.org/10.1109/access.2019.2897475","mag":"2911777412"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2897475","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2897475","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08633906.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/ielx7/6287639/8600701/08633906.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":["School of Information Engineering, Minzu University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8815-479X","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101439062","display_name":"Xu Wu","orcid":"https://orcid.org/0000-0003-1553-0680"},"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":"Xu Wu","raw_affiliation_strings":["School of Information Engineering, Minzu University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","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":["School of Information Engineering, Minzu University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029261237","display_name":"Fan Li","orcid":"https://orcid.org/0000-0001-8949-4905"},"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":"Fan Li","raw_affiliation_strings":["School of Information Engineering, Minzu University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071005386","display_name":"Ziheng Yu","orcid":"https://orcid.org/0000-0003-3234-2243"},"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":"Ziheng Yu","raw_affiliation_strings":["School of Information Engineering, Minzu University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3234-2243","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145897649"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.822,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.95314473,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"21527","last_page":"21538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9932000041007996,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9932000041007996,"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/T10028","display_name":"Topic Modeling","score":0.9912999868392944,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9864000082015991,"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":0.8598635196685791},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7030242681503296},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.6671351790428162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6500165462493896},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6284804344177246},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6011019945144653},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5989540219306946},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.574719250202179},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.571588397026062},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.46465176343917847},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4297049045562744},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4214158058166504},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37196749448776245},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.221614807844162},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.091570645570755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8598635196685791},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7030242681503296},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.6671351790428162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6500165462493896},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6284804344177246},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6011019945144653},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5989540219306946},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.574719250202179},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.571588397026062},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.46465176343917847},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4297049045562744},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4214158058166504},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37196749448776245},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.221614807844162},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.091570645570755},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2897475","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2897475","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08633906.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:59c554671e2c4a11a60099c11a5b3039","is_oa":true,"landing_page_url":"https://doaj.org/article/59c554671e2c4a11a60099c11a5b3039","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 21527-21538 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2897475","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2897475","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08633906.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":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7200000286102295}],"awards":[{"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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2911777412.pdf","grobid_xml":"https://content.openalex.org/works/W2911777412.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W27263903","https://openalex.org/W145476170","https://openalex.org/W1514009873","https://openalex.org/W1612003148","https://openalex.org/W1614298861","https://openalex.org/W1714665356","https://openalex.org/W1997713435","https://openalex.org/W2069106362","https://openalex.org/W2108420397","https://openalex.org/W2137958601","https://openalex.org/W2147152072","https://openalex.org/W2332448308","https://openalex.org/W2468278783","https://openalex.org/W2521035017","https://openalex.org/W2609357519","https://openalex.org/W2794953472","https://openalex.org/W2889191453","https://openalex.org/W2889386526","https://openalex.org/W2906272523","https://openalex.org/W2998704965","https://openalex.org/W4231510805","https://openalex.org/W4294170691","https://openalex.org/W6601079536","https://openalex.org/W6605963037","https://openalex.org/W6636440780","https://openalex.org/W6639619044","https://openalex.org/W6680532216","https://openalex.org/W6682691769"],"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/W4389543811"],"abstract_inverted_index":{"The":[0,37,128,209,241],"mining":[1],"of":[2,7,15,23,79,111,119,123,170,181,196,228,238,252],"network":[3,20,48,81,124],"sensitive":[4,24,63,82,87,99,141,147,174,215,229],"information":[5,25,64,83,257],"is":[6,26,94,102,114,135,150,233,247],"great":[8],"significance":[9],"for":[10,62,172],"understanding":[11,165],"the":[12,16,19,44,47,52,80,97,108,112,117,132,139,145,153,157,163,167,173,179,182,187,194,197,201,214,222,236,250],"social":[13,35],"stability":[14],"network.":[17],"Obtaining":[18],"public":[21],"opinion":[22],"helpful":[27,234],"to":[28,137,235,249],"master":[29],"Internet":[30],"users'":[31],"attitudes":[32],"toward":[33],"important":[34],"events.":[36],"related":[38,202],"artificial":[39,239],"intelligence":[40],"technology":[41],"can":[42,161,191,219],"achieve":[43],"topics":[45,203],"from":[46],"texts.":[49],"At":[50],"present,":[51],"current":[53],"topic":[54,70,76,175,184,198,223],"recognition":[55,60,77,168,224],"model":[56,93,218],"has":[57],"a":[58,75,86,120],"low":[59],"rate":[61],"and":[65,107,166,177,200,204,226,256,259],"usually":[66],"generates":[67],"some":[68],"inaccurate":[69],"keywords.":[71,208],"In":[72],"this":[73,245],"paper,":[74],"method":[78],"based":[84,126],"on":[85],"word":[88,100,113,133,142,148,216],"weighted-latent":[89],"Dirichlet":[90],"allocation":[91],"(LDA)":[92],"proposed.":[95],"First,":[96],"basic":[98,140],"vocabulary":[101,149],"constructed":[103],"by":[104],"manual":[105],"collection,":[106],"embedding":[109,134],"representation":[110],"obtained":[115],"through":[116],"training":[118],"large":[121],"amount":[122],"corpus":[125,243],"onWord2vec.":[127],"semantic":[129,164],"similarity":[130],"between":[131],"calculated":[136],"extend":[138],"vocabulary.":[143],"Second,":[144],"extended":[146],"embedded":[151],"in":[152,244],"LDA":[154,171],"model.":[155],"On":[156,186],"one":[158],"hand,":[159,189],"it":[160,190],"improve":[162,193,221],"ability":[169],"words":[176],"promote":[178],"quality":[180,227],"generated":[183,242],"words.":[185],"other":[188],"also":[192],"relevance":[195],"keywords":[199],"find":[205],"more":[206],"fine-grained":[207],"experimental":[210],"results":[211],"show":[212],"that":[213],"weighted-LDA":[217],"effectively":[220],"quantity":[225],"information.":[230],"This":[231],"paper":[232,246],"development":[237],"intelligence.":[240],"meaningful":[248],"research":[251],"text":[253],"classification,":[254],"clustering":[255],"retrieval,":[258],"so":[260],"on.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}