{"id":"https://openalex.org/W3040342228","doi":"https://doi.org/10.1145/3404512.3404524","title":"A BERT-based Ensemble Model for Chinese News Topic Prediction","display_name":"A BERT-based Ensemble Model for Chinese News Topic Prediction","publication_year":2020,"publication_date":"2020-05-29","ids":{"openalex":"https://openalex.org/W3040342228","doi":"https://doi.org/10.1145/3404512.3404524","mag":"3040342228"},"language":"en","primary_location":{"id":"doi:10.1145/3404512.3404524","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404512.3404524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 2nd International Conference on Big Data Engineering","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/A5100739644","display_name":"Jingang Liu","orcid":"https://orcid.org/0000-0001-6629-1646"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingang Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035296513","display_name":"Chunhe Xia","orcid":"https://orcid.org/0000-0003-4424-8449"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhe Xia","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679808","display_name":"Xiaojian Li","orcid":"https://orcid.org/0000-0002-5353-5207"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojian Li","raw_affiliation_strings":["School of Computer Science and Information Technology, Guangxi Normal University, Guilin, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Technology, Guangxi Normal University, Guilin, Guangxi, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057240245","display_name":"Haihua Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haihua Yan","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081159876","display_name":"Tengteng Liu","orcid":"https://orcid.org/0000-0002-0182-2562"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengteng Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100739644"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":1.4582,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85828262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"18","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9945999979972839,"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/T10028","display_name":"Topic Modeling","score":0.9945999979972839,"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":0.9933000206947327,"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":0.9922000169754028,"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":0.8293415307998657},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6554131507873535},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6505637168884277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5259250402450562},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.47607582807540894},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4518515467643738},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44307512044906616},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27591457962989807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8293415307998657},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6554131507873535},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6505637168884277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5259250402450562},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.47607582807540894},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4518515467643738},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44307512044906616},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27591457962989807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3404512.3404524","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404512.3404524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 2nd International Conference on Big Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1598796236","https://openalex.org/W1689711448","https://openalex.org/W1924770834","https://openalex.org/W1947481528","https://openalex.org/W1982091272","https://openalex.org/W1988253520","https://openalex.org/W1994484359","https://openalex.org/W2015488270","https://openalex.org/W2034390736","https://openalex.org/W2051928158","https://openalex.org/W2072755415","https://openalex.org/W2114431967","https://openalex.org/W2170798317","https://openalex.org/W2312296889","https://openalex.org/W2325128067","https://openalex.org/W2332414256","https://openalex.org/W2576396432","https://openalex.org/W2577986889","https://openalex.org/W2781813522","https://openalex.org/W2792764867","https://openalex.org/W2890405723","https://openalex.org/W2896457183","https://openalex.org/W2899795757","https://openalex.org/W2900766077","https://openalex.org/W2909182718","https://openalex.org/W2971105107","https://openalex.org/W2981660166","https://openalex.org/W2981916718","https://openalex.org/W2996428491","https://openalex.org/W3009925600","https://openalex.org/W4294170691","https://openalex.org/W6682691769","https://openalex.org/W6739901393","https://openalex.org/W6747313013"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508","https://openalex.org/W2499527417"],"abstract_inverted_index":{"With":[0,57],"the":[1,10,14,22,32,37,46,58,62,66,71,87,90,98,115,121,170,174],"rapid":[2],"development":[3],"of":[4,24,36,61,89,117],"big":[5],"data":[6],"mining":[7],"technology":[8],"in":[9,65],"Chinese":[11,25,38,81,99,150,179],"commercial":[12],"field,":[13],"news":[15,26,39,47,100,151,180],"topic":[16,27],"prediction":[17,49],"becomes":[18],"increasingly":[19],"important.":[20],"Since":[21],"accuracy":[23],"classification":[28,83,101],"can":[29],"directly":[30],"affect":[31,43],"personalized":[33],"recommendation":[34],"effect":[35],"system":[40],"and":[41,120,148,163,182],"then":[42],"business":[44],"profits,":[45],"category":[48],"performance":[50,79],"needs":[51],"to":[52,92,146,159,177],"be":[53],"higher":[54],"as":[55],"possible.":[56],"great":[59],"success":[60],"BERT":[63,72,91,119,128,138],"model":[64,73,112,141],"past":[67],"two":[68,157],"years,":[69],"using":[70,86,137],"alone":[74],"has":[75,173],"achieved":[76],"extremely":[77],"good":[78],"on":[80],"text":[82,152],"tasks.":[84],"Therefore,":[85],"advantages":[88,116],"study":[93],"more":[94,104,134],"effective":[95,135],"methods":[96],"for":[97],"will":[102],"become":[103],"meaningful.":[105],"In":[106],"this":[107],"paper,":[108],"we":[109,155],"propose":[110],"a":[111,143],"that":[113,169],"combines":[114],"both":[118],"long":[122],"short-term":[123],"memory":[124],"(LSTM)":[125],"network,":[126],"named":[127],"ensemble":[129],"LSTM-BERT(BERT-LB).":[130],"Our":[131],"method":[132,145,162,172],"is":[133],"than":[136],"alone.":[139],"This":[140],"uses":[142],"three-step":[144],"calculate":[147],"integrate":[149],"features.":[153],"Besides,":[154],"use":[156],"datasets":[158],"evaluate":[160],"our":[161],"other":[164],"baseline":[165],"methods.":[166],"We":[167],"demonstrate":[168],"proposed":[171],"promising":[175],"ability":[176],"predict":[178],"topics":[181],"prove":[183],"its":[184],"generalization":[185],"ability.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
